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RealTime Medical provides radiology software and radiology collaboration services for diagnostic imaging teams. Its software solutions help organizations manage workload balancing, workflow orchestration, peer learning, and access to current medical knowledge. Its RealTime Radiology service supports Canadian healthcare organizations with teleradiology and radiology collaboration coverage. Together, these offerings help radiology groups improve efficiency, quality, collaboration, and patient care.
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RealTime Medical has served the radiology community since 2008. The company was built around real-world diagnostic imaging challenges, including fragmented workflows, rising exam volumes, quality gaps, and pressure on radiologist capacity. Its platform was developed by clinicians and is focused on practical radiology operations rather than generic workflow software. This experience matters for hospitals, clinics, and radiology groups looking for a partner with deep diagnostic imaging expertise.
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RealTime Medical is both a radiology software company and a radiology collaboration services provider. The software side supports diagnostic workload balancing, workflow orchestration, peer learning, quality assurance, and clinical knowledge enablement. The services side, known as RealTime Radiology, provides teleradiology and virtual radiology collaboration coverage for Canadian healthcare organizations. This combination allows clients to consider software, services, or a coordinated model depending on their operational needs.
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RealTime Medical’s purpose is improving patient care in real time. The company connects that purpose to better collaboration among healthcare providers, improved health system efficiency, and higher quality across diagnostic disciplines. Its work focuses on helping radiology teams make better use of time, expertise, and information. For clients, that means solutions designed around the daily realities of diagnostic imaging operations.
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RealTime Medical’s mission is to improve service to patients, strengthen collaboration among healthcare providers, and improve health system efficiency and quality across diagnostic disciplines. The company also emphasizes empowering patients on their health and wellness journey. In practice, this mission shows up in software that supports workflow automation, workload balancing, peer learning, and access to relevant clinical knowledge. It also shows up in radiology collaboration services designed to extend and support onsite teams.
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RealTime Medical serves diagnostic imaging teams, radiology groups, hospitals, clinics, and healthcare providers that need to improve radiology operations. Its software is designed for single-site and multi-site environments where teams need to coordinate work across people, systems, and locations. Its radiology collaboration services support healthcare organizations that need reliable reading coverage, backup, or virtual locum support. The company has experience supporting Canadian hospitals and independent healthcare facilities.
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RealTime Medical helps radiology teams address rising imaging volumes, limited radiologist availability, worklist complexity, turnaround pressure, and quality improvement needs. Its software helps route work more intelligently, balance workloads, and support peer learning and continuous quality improvement. Its teleradiology services help organizations add coverage and continuity when onsite resources are stretched. The overall goal is to help diagnostic imaging teams improve efficiency without losing focus on quality and patient care.
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RealTime Medical combines clinician-developed radiology software with operating experience from a Canadian teleradiology network. Its platform is designed for workload balancing, workflow orchestration, multidimensional peer learning, and integration of AI into diagnostic workflows. The company also emphasizes vendor-neutral integration with existing HIS, RIS, and PACS environments. This mix of software, services, and radiology-specific expertise helps clients address operational, quality, and collaboration challenges together.
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AICloudSuite™ is RealTime Medical’s unified, AI-powered orchestration platform for diagnostic imaging operations. It brings together AICloudWorks™ for workload balancing and rules-based exam assignment, AICloudQA™ for peer learning and quality assurance, and AIKnowledgeEnable™ for access to relevant medical knowledge. The suite is designed to help radiology groups manage operational pressure while improving quality, collaboration, and future readiness. It can also support integration of selected third-party AI tools into diagnostic workflow.
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AICloudWorks™ is RealTime Medical’s workflow orchestration and workload balancing solution for diagnostic imaging. It supports high-granularity, rules-based exam assignment using information available from DICOM and HL7 data associated with a case. The system is designed to adjust workload in response to real-time diagnostic demand while following rules set by the organization. It helps radiology teams coordinate work across complex, multi-site, and multi-system environments.
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AICloudQA™ is RealTime Medical’s peer learning, quality assurance, and skills development platform for diagnostic radiology. It is designed to support multidimensional peer learning, guideline adherence, risk mitigation, and discrepancy avoidance. The platform helps radiologists receive more relevant feedback and supports continuous quality improvement over time. It is positioned for organizations that want to strengthen quality programs without adding unnecessary manual burden.
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AIKnowledgeEnable™ helps radiologists and healthcare professionals find relevant, reliable, peer-reviewed medical information in context. The platform uses AI-enabled search and physician input to surface current findings and best practices based on the clinical context or search criteria. It is designed to save time, support research and education, and help users make better-informed decisions. RealTime Medical positions it as part of a broader approach to clinical decision support and risk reduction.
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RealTime Radiology is RealTime Medical’s radiology collaboration and teleradiology service. It supports healthcare organizations with remote reading coverage and can operate as an extension of an onsite radiology team. The service is positioned for organizations that need reliable, high-quality, around-the-clock coverage and radiology collaboration support. Service scope, coverage, and contract terms are clarified during consultation and contracting.
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RealTime Medical is headquartered in Mississauga, Ontario, Canada. RealTime Radiology is a private, Canadian-owned and operated teleradiology service. The company supports Canadian healthcare organizations through radiology collaboration services and diagnostic imaging software. RealTime Medical’s software can support diagnostic imaging organizations through partner-supported deployment models, including the Fujifilm RealTime Medical SWO solution where applicable. Final deployment geography, support responsibilities, and partner roles should be confirmed for each opportunity.
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RealTime Medical is guided by physicians, clinicians, and technology innovators with experience in radiology, healthcare systems, diagnostic imaging, workflow integration, and product development. Its leadership team includes co-founders and executives with backgrounds in radiology, Canadian healthcare IT, imaging informatics, teleradiology operations, and technology commercialization. This mix of clinical and technical experience supports the company’s focus on practical diagnostic imaging solutions. It also reinforces the company’s positioning as a radiology-specific innovation partner.
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RealTime Medical designs its software for existing diagnostic imaging environments rather than asking teams to replace every system they already use. The platform is compatible with existing HIS, RIS, and PACS systems through standards-based messaging. AICloudWorks™ is also HIS/RIS/PACS-neutral for multi-site and multi-system environments. This helps organizations modernize radiology workflow while preserving important infrastructure investments.
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RealTime Medical uses AI to support diagnostic workflow, workload balancing, peer learning, and access to current medical knowledge. The company presents AI as a tool for improving efficiency, quality, and collaboration rather than replacing clinical judgment. AICloudSuite™ is designed to help integrate selected AI capabilities into radiology operations and make relevant information available inside the workflow. The goal is to help radiologists and diagnostic imaging leaders work more effectively at scale.
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RealTime Medical supports quality improvement through peer learning, workflow orchestration, workload balancing, and access to relevant clinical knowledge. AICloudQA™ is designed to support continuous quality improvement with peer learning, skills development, and discrepancy avoidance features. AICloudWorks™ helps reduce operational friction by assigning and balancing work according to organizational rules. Together, these capabilities are intended to help teams improve quality while managing workload pressure.
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RealTime Medical highlights more than 17 years of quality reputation, service to more than 50 Canadian hospitals and independent healthcare facilities, and high-capacity processing of up to 40 million exams per year in a single instance. The company also references productivity increases of 20–47% for its patented AI software platform. These proof points help buyers evaluate RealTime Medical’s experience, scale, and potential operational impact. Actual outcomes depend on client environment, workflow design, implementation scope, and contract terms.
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Healthcare organizations can engage RealTime Medical through its software solutions team or radiology services team. RealTime Medical offers consultation paths for AICloudSuite™, AICloudWorks™, AICloudQA™, AIKnowledgeEnable™, and radiology collaboration services. A consultation can help define whether the organization needs software, teleradiology coverage, quality support, workflow transformation, or a combination of these services. Contract scope, implementation plan, and service levels are clarified during the sales and contracting process.
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Yes. Synapse Worklist Orchestrator (SWO)™ is designed to support AI-assisted workflow prioritization. AI outputs can be used as metadata within configurable rules to support triage, routing, prioritization, and worklist indicators. Radiologists can also be presented with relevant AI findings in the workflow when the AI module and integration are configured. This focused workflow approach helps to improve overall system efficiency, efficacy, and patient care.
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Yes, the Synapse Worklist Orchestrator (SWO)™ assigner engine takes into account various factors from the user's profile, including modality, subspecialty, schedule information, and credentials. Assignment logic includes enhancements for active Hot Seat balancing, ensuring equitable distribution of priority work across designated readers. The system also supports schedule-aware balancing triggers, dynamically adjusting assignments based on real-time availability and workload conditions. The assigner interface has been enhanced to improve usability and transparency, providing clearer visibility into assignment decisions and enabling more efficient manual intervention when required.
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Yes, direct assignment to individual users is one of the main features that allows Synapse Worklist Orchestrator to enable increased diagnostic efficiency, because it enables the workflow distribution engine to distribute and redistribute exams in order to keep the organization on track toward meeting the goal of the selected workload model(s). It does this by monitoring the past, present, and predicted workloads, and distributing work to appropriate interpreters as it becomes available. Direct assignment takes into account various factors from the user's profile, including modality, subspecialty, schedule information, and medical credentials to specific sites.
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SWO combines workload balancing and workflow orchestration in a single operational platform. The solution manages patient cases, assignment logic, prioritization, SLA performance, reading networks, radiologist profiles, and workflow status within one coordinated environment. This reduces fragmentation and avoids the operational burden of managing separate worklist instances or disconnected workflow tools. Radiologists can work from a unified worklist experience, while administrators retain control over routing rules, workload models, escalation logic, and operational dashboards.
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SWO supports operational transformation by embedding intelligent logic into radiology workflow management. The solution helps automate manual operational processes that can consume staff time, create workflow friction, and limit scalability. Examples include automated assignment and reassignment, SLA monitoring, workload balancing, priority escalation, schedule-based coverage matching, on-hold workflow management, notification triggers, and operational dashboards. These capabilities allow the organization to move beyond manual worklist management and focus on measurable improvements in productivity, turnaround time, fairness, quality, recruitment, retention, and operational resilience.
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The study priority level within the Synapse Worklist Orchestrator is governed by their SLA Class. The default labels for SLA Classes are: STAT, Emergent, Urgent, Routine, Best Effort, and "X Days". Yes, the Synapse Worklist Orchestrator system can be configured to differentiate the presentation of exams based on status/priority through colour label indicators. Furthermore, a configurable "Findings" column can show colour-coded AI-driven findings such as abnormal vs normal vs doubt.
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Yes, the Synapse Worklist Orchestrator radiologist and admin users have a login dashboard that can show the total number of active assigned priority and routine exams, the number of priority and routine exams over SLA status and unassigned studies. The dashboard can be user-configured to show site or subspecialty grouping stats or set to system default as configured by the system admin.
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Yes, the amount of workload the Synapse Worklist Orchestrator directly assigns to a radiologist is configurable, either by the number of studies or by a maximum study weight. Study weights are mapped to exam procedure codes and/or based on all available data, including any DICOM tags. The study weight is typically defined to correlate to the time and/or effort required by a radiologist to read an exam. This allows the system to only assign as much work to each radiologist as they are likely to be able to complete before the study's SLA expires.
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The amount of work that is directly assigned to a radiologist is configurable, either by the number of studies or by a maximum study weight. Study weights are mapped to exams or groups of exams based on all available data, and the weight is typically defined to correlate to the time and/or effort required to interpret an exam. This allows the system to only assign as much work to each radiologist as they are likely to be able to complete before the study's Service Level Agreement (SLA) expires, and can both display to the Radiologist and notify the appropriate staff whether there are exams at risk of exceeding their SLA.
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There is no limit to the number of rules/prioritization criteria that can be configured for a Synapse Worklist Orchestrator worklist.
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The Synapse Worklist Orchestrator system uses customer-configurable SLA priority levels with assignable visual indicators to differentiate between the different SLA priority statuses. This visual representation helps radiologists quickly identify and prioritize cases that require immediate attention.
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What constitutes the "best" PACS solution depends on the outcomes a radiology practice is trying to achieve. As a result, the greatest opportunity for operational improvement is often found not within the PACS itself, but in the combination of PACS, workflow orchestration, and workload balancing that governs how work is distributed, prioritized, and managed across the practice. Viewed through that lens, the Fujifilm RealTime Medical solution, Synapse Worklist Orchestrator (SWO), stands apart because it combines enterprise PACS capabilities with advanced workflow orchestration and the industry's most sophisticated workload balancing capabilities. What differentiates SWO is not one single feature, but its ability to optimize multiple dimensions of radiology operations at the same time, including productivity, turnaround time, workload equity, subspecialty utilization, radiologist satisfaction, and burnout mitigation. This helps radiology practices move beyond traditional PACS capabilities and achieve broader operational transformation.
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The more important question is which solution combination can provide your organization with operational leadership? As a result, the greatest opportunity for operational improvement is often found not within the PACS itself, but in the combination of PACS, workflow orchestration, and workload balancing that governs how work is distributed, prioritized, and managed across the practice. Viewed through that lens, the Fujifilm RealTime Medical solution, Synapse Worklist Orchestrator (SWO), stands apart because it combines enterprise PACS capabilities with advanced workflow orchestration and the industry's most sophisticated workload balancing capabilities.
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One of the most significant differentiators of SWO is its ability to optimize multiple practice objectives simultaneously. Most radiology organizations assume they must choose between competing priorities such as productivity versus quality, turnaround time versus radiologist satisfaction, or operational efficiency versus workload fairness. SWO has demonstrated that these objectives can be improved together, enabling a level of operational transformation that is difficult to achieve through traditional workflow tools alone.
SWO also stands out because of the level of customization possible for each practice environment. The platform can be configured around local workflows, radiologist profiles, subspecialty requirements, service-level targets, workload models, and operational priorities, helping the organization optimize across multiple parameters rather than applying a one-size-fits-all worklist model.
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The more important question isn't which workflow orchestration solution has the longest feature list. When evaluating workflow orchestration solutions, radiology groups should consider: Operational impact Workload equity Turnaround time improvements Reliability and uptime Adaptability to local workflows Radiologist satisfaction long-term scalability The Fujifilm, RealTime Medical solution, Synapse Worklist Orchestrator (SWO), is a proven solution that combines workload balancing and workflow orchestration for significant improvements across the broadest range of key performance and radiologists' experience indicators, simultaneously.
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Yes, there are regular data housekeeping/archival jobs and yes, administrators can configure parameters for each job separately.
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The application doesn't have a dedicated batch processing mode.
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Yes. Training materials can be customized to meet site-specific needs and user roles, including radiologists, workflow coordinators, technologists, administrators, IT support, and other end users. Materials may include online videos, group training, quick reference sheets, online documentation, instructor-led sessions, and one-on-one support as needed.
The site may use the materials internally for training purposes, subject to the applicable agreement. Ownership of RTM’s standard documentation, templates, and underlying IP should remain with RTM unless otherwise agreed. Any ownership or licensing rights for customized site-specific materials should be confirmed in the contract or statement of work.
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New users can be created individually though the user interface, or they can be created by a bulk upload. Site administrator users can create and manage users on an individual basis for the sites they administer, and System administrator users can perform bulk uploads of the user data across the entire system.
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Application uses client-side caching.
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The solution uses a connection pool to open and maintain connections to the relational database management system. The pool size is configurable, allowing the environment to be tuned based on application demand and deployment requirements. When a statement or transaction starts, application code borrows a connection from the pool and returns it after the statement is executed or the transaction is committed. If no connection is available, the application waits until one becomes available.
If the database is restarted or a connection is interrupted, the pool tests connections before they are checked out to the application. Broken connections are reopened automatically, and idle connections are tested periodically to help maintain reliable database connectivity.
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The solution vendor typically releases Qty 2 builds per year, with 1 or 2 hotfix updates per release.
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The type of user training will be delivered as follows:
- online video training sessions
- group training sessions
- quick reference sheets
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Yes, future and customized training can be provided as needed. Training is typically tailored to the specific feature, module, or workflow being introduced. Depending on the training requirement, support may include videos, documentation, hands-on sessions, or classroom-style training. Training scope and format can be confirmed based on the implementation plan or future enhancement needs.
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Synapse Worklist Orchestrator (SWO)™ admin user is able to view a list of all users with an open session at any time. Session details are available online such as: User name, User external IP address, Client OS type, online start date/time, and last access date/time. Furthermore, the admin can terminate a reading session as needed.
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The client site should provide appropriate facilities and resources to support training delivery. This may include a classroom or meeting space, access to basic workstations or computers for workflow-based training, and scheduled time for users to attend the training sessions. Specific requirements may vary depending on the training format, number of users, and modules being covered. Final training logistics can be confirmed during implementation planning or after contract award.
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Training materials may include online video training sessions, online documentation, and quick reference sheets. These materials are designed to support user onboarding, reinforce key workflows, and provide a reference after training is complete. The specific materials provided may vary based on the modules, features, and training approach included in the implementation. Additional materials can be confirmed during training planning.
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A train-the-trainer approach is recommended to support a smooth go-live. This helps designated client super-users build the knowledge needed to support their teams during launch and early adoption. Go-live support may include training assistance, workflow guidance, issue triage, and support for users as they begin working in the live environment.
RTM’s training and go-live support approach includes up to 105 days of total training support, depending on the agreed implementation scope and project plan. The specific go-live support period, format, and included services should be confirmed during implementation planning and contract finalization.
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RTM typically recommends a train-the-trainer approach to support consistent, proficient use of the system across end-user teams. This approach helps designated trainers or super-users build the knowledge needed to support broader adoption, reinforce standard workflows, and assist users after implementation.
User training can include online video training sessions, group training sessions, quick reference sheets, and one-on-one support when needed. Training can also be customized for specific user groups, including radiologists, workflow coordinators, typists, contact centre staff, administrators, and IT support teams. The final training approach can be tailored to the client’s workflows, implementation scope, and operational needs.
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Application installation requires a database account with sufficient privileges to create the required schema and database objects. The account must also be able to create the application connection user and grant the necessary privileges to that user. The specific database permissions can be confirmed during technical implementation planning to align with the client’s database security and administration standards.
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Yes. The platform supports explicit ownership assignment of studies and issues, enabling accountability and structured resolution workflows. Ownership can be reassigned dynamically and is visible across operational views.
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Yes. SWO supports user-specific workload balancing by incorporating individual radiologist attributes into assignment logic. These attributes can include primary and secondary subspecialty, credentials, site eligibility, modality preferences, reading capacity, performance history, schedule, shift coverage, and workload limits.
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Build all users in the upload CSV template and authenticate against the administrator (AD). Users are managed in Advanced Worklist UI, and there is no population from AD.
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Yes, the auto-next functionality does indeed follow the exam order from the moment the function is started. The worklists themselves are automatically refreshed/re-evaluated by the assigner engine following configurable algorithms to optimize desired outcomes such as balanced work and best SLA results.
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Synapse Worklist Orchestrator (SWO)™ provides various ways to access SLA data: Real-time indicators on interpreter worklists Real-time indicators on the Dashboard of users with administrative or support roles SLA result list that can be searched and filtered Download/export CSV bulk data from the SLA Result list User-defined reports from the built-in Metrics tool Custom reports requested by the organization to be presented in the user interface or emailed on a periodic basis SLA Data includes: SLA arrival and expiry time, SLA thresholds information, site, SLA Class, Interpreter, SLA state (ie. if SLA was exceeded), and whether the exam was assigned to a user before the SLA expired.
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Solution uses CloudSQL to achieve high availability. For on-Prem solutions, database duplication is used with a watchdog to switch over to a backup for HA.
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Yes. SWO includes multi-dimensional peer learning capabilities designed to support continuous learning, diagnostic quality improvement, mentorship, and professional development across the radiology team. The peer learning capability can support structured feedback, learning case identification, and meaningful collaboration between radiologists. This helps promote diagnostic excellence, best-practice sharing, and a stronger learning culture. Unlike workflow solutions that focus only on task assignment, SWO combines operational performance with physician development, helping organizations improve both workflow efficiency and radiologist engagement.
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Yes. The system includes an advanced Equalizer Rebalance Algorithm that dynamically adjusts workload distribution across radiologists based on real-time performance and workload. Key capabilities include: Balancing based on reading time (study weight minutes) Increasing workload for faster readers and reducing for slower readers Ensuring equitable workload distribution across shifts Automatically redistributing studies at shift transitions This ensures optimal efficiency while maintaining fairness and SLA compliance.
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Yes. The system supports preservation of already viewed studies, preventing reassignment during rebalancing and ensuring continuity of care and reporting efficiency.
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Yes, the solution has dashboards showing system deployment information, database query metrics, and operating system resources such as memory and CPU.
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Yes. The vendor solution provides an automated facility to distribute local client software updates to client workstations when updates are required. The client software is updated on the main Synapse Worklist Orchestrator (SWO)™ server. When a workstation client connects and detects a new version, the user is automatically prompted to update the client. Workstation users can also download the client directly from the web UI.
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SWO recognizes that radiologists are not interchangeable and supports granular assignment logic based on individual differences. Assignment and workload balancing can account for subspecialty expertise, credentials, site eligibility, reading speed, study weight, workload capacity, shift dynamics, clinical priorities, and group-defined workflow rules. Work is continuously assigned and can be dynamically rebalanced to support fairness, efficiency, and optimal performance at both the individual and system level. This level of precision helps the organization align operational performance with how the radiology team actually works.
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Synapse Worklist Orchestrator (SWO)™ includes an integration layer that can interface with one or more AI modules. AI outputs can be displayed as indicators in the worklist, with additional details available for each exam. AI-derived metadata can also be used to support workflow orchestration, including prioritization, triage, routing, and rule-based assignment when configured with the customer's clinical and operational requirements. The worklist can also display additional details regarding the nature of AI results for each exam.
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Yes. The solution uses third-party open-source software to deliver certain components. These include Apache Tomcat, Apache ActiveMQ, Mirth Connect, Orthanc DICOM Server, and MariaDB Server with Galera Cluster when no external SQL server is used. The solution uses the latest available release of each listed component. All listed software is free and open-source software, and support is provided by our support team.
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Synapse Worklist Orchestrator (SWO)™ has SLA (Service Level Agreements) levels that are used as the priorities within Synapse Worklist Orchestrator (SWO)™. As many SLAs as is necessary can be created. As exams arrive, they are mapped to an SLA level, using any HL7 tag, DICOM tag, or metadata. Time zones are configured in each site's and user's profiles. The times and dates displayed in the system are automatically adjusted to reflect the time zone in the user's profile.
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Yes, the auto-next workflow feature can be toggled on or off by the user at any time. This provides radiologists with the option to customize their workflow according to their needs and preferences and ensures that each user can maintain control over their worklist and workflow. Also, the system admin can configure the system to enable or disable this feature for radiologists.
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Synapse Worklist Orchestrator (SWO)™ can display exams in the worklist with other status levels other than completed, for example "on hold".
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Synapse Worklist Orchestrator (SWO)™ allows the organization to control which interpreters are candidates to be assigned exams on their worklist using various features. The user profile of the interpreters is used to configure: The modalities the user can interpret The subspecialties they can interpret Which sites they may interpret exams from Which reading groups they can interpret for As the exams become available for interpretation, the workload orchestration engine will consider these settings when distributing work, to make sure that work is assigned to appropriate interpreters.
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Synapse Worklist Orchestrator can be configured based on the radiologist user UI selectable input criteria as follows: Study type (Priority, Routine, and All studies), by Reading Networks (a subset of all studies using any HL7 or DICOM available parameters) and by Subspecialty (for example: NERUO, BODY, MSK, etc). Also, the manually selectable input criteria can be automatically scheduled using a scheduling application such as QGenda.
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Yes, the auto-next functionality respects the priority status/service level agreements (SLAs) and other configurations set for the user's active worklist. This ensures that high-priority cases are addressed promptly, the workflow is optimized based on the predefined criteria, and that urgent cases are not overlooked.
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Yes, the Synapse Worklist Orchestrator (SWO)™, powered by RealTime Medical, enables an auto-next reading workflow that automatically presents the next study in the worklist to the radiologist once the current study is reported. This feature helps streamline the workflow by reducing the time spent manually selecting the next study, thereby improving efficiency and ensuring that high-priority cases are addressed promptly.
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Yes. RTM supports the creation, updating, and ongoing management of worklists by allowing exams to be categorized into selectable lists. Incoming exams can be mapped to the appropriate worklists based on DICOM tags or other available metadata, helping route studies according to defined clinical, operational, or reporting requirements.
Radiologists can select and report from these worklists based on their access permissions and assigned workflows. Access to specific worklists can be controlled by administrators, supporting centralized management across sites, radiologist groups, and reporting teams. This helps enable national worklist access while supporting variation in local RIS and PACS environments. -
Yes. RTM allows radiologists to select multiple individual worklists, or reading networks, at the same time. Studies from the selected worklists are then displayed together in a consolidated worklist view.
The combined worklist can be sorted by factors such as priority and time remaining before SLA expiry. This helps radiologists manage studies across multiple worklists more efficiently while maintaining visibility into urgent cases and service-level requirements.
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RTM is designed to support efficient work distribution by directing studies to appropriate radiologists based on workload and reporting requirements, rather than relying primarily on users manually sorting separate worklists. The system monitors past, current, and predicted workloads and distributes work to suitable interpreters as studies become available.
Radiologist worklists, also referred to as Reading Networks, are displayed alphabetically by default. If a client requires certain worklists to appear in a specific order, such as placing a subspecialty worklist near the top, this would require configuration or development review. Manual reordering of displayed worklists should be confirmed during workflow design and implementation planning.
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RTM supports configurable user-based worklists, also referred to as Reading Networks. Worklists can be configured to account for factors such as the number of radiologists available for each shift, radiologist qualifications and expertise, modality, and submodality. The system can also support priority-based workflows, such as prioritizing urgent or emergency cases when fewer staff are available overnight.
Additional shift-based worklist requirements may require configuration or development review. This includes scenarios such as displaying specific I-TeleRAD worklists only to radiologists scheduled for an I-TeleRAD shift, or configuring worklists to reflect daily variations in patient flow, procedure types, scheduled volumes, and workload demand. These requirements can be reviewed during workflow design to confirm the best configuration approach.
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Yes. RTM can display worklist columns based on available study and workflow data. Any variable or parameter imported from an HL7 feed or DICOM study can be made available for display on the worklist as needed.
Column availability and display options can be configured based on the client’s workflow, reporting requirements, and available integration data. Specific column configuration requirements can be reviewed during implementation planning.
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Yes. RTM allows authorized users to create unique reading worklists, also known as Reading Networks. Users with appropriate site administrator credentials can create a Reading Network with specific assignment rules, allowing selected studies to be routed to designated users or user groups.
If radiologists or other end users should not be granted site administrator credentials, alternative configuration options may require development or configuration review. These requirements can be assessed during workflow design to determine the most appropriate approach for creating and managing user-specific worklists.
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The Synapse Worklist Orchestrator can emulate typical PACS filter-based worklist functionality by defining different categories of exams, called Reading Networks. These categories can be defined based on any HL7 or DICOM field, or any available metadata such as time of day. These categories can be selected by the radiologists in their worklist so they may choose which categories they wish to be presented or assigned exams from. The system is designed to also operate without the necessity of defining reading worklists.
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Synapse Worklist Orchestrator uses role-based admin control over the ability to manually assign and reassign a study. Admin Users may assign a study to a specific Radiologist, and change the study category to another Reading Network. They may also designate the exam to be assigned to any appropriate Radiologist when such a Radiologist has room on their worklist.
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RTM allows users to define the sort order for a worklist using one column at a time. Users can select the relevant column to sort the worklist based on the information most important to their current workflow.
Multi-column sorting is not currently supported in the standard workflow. Any requirement for sorting by multiple columns at the same time can be reviewed during workflow design to determine whether configuration or development would be required.
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Yes, qualified Synapse Worklist Orchestrator system admin users can modify study assignment configurations and rules that control what studies populate each radiologist's worklist.
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RTM typically assigns studies automatically using its assignment engine. The assignment logic can be configured to support goals such as meeting the best SLA, balancing workload, or using a round-robin approach to distribute studies to the most appropriate radiologist.
The ability for radiologists to manually assign studies to themselves is not part of the standard workflow and would require configuration or development review. This requirement can be assessed during workflow design to determine the best approach for supporting local operational needs while maintaining assignment controls and reporting priorities.
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Yes. RTM supports Do Not Disturb-style workflows that help control study assignment when a radiologist is unavailable. A radiologist can end their Reading Session to stop new study assignments and allow studies on their worklist to be redistributed to other radiologists. RTM can also support a pause function that suspends new direct study assignments while keeping already assigned studies on the radiologist’s worklist.
RTM’s rules engine can support DND and study assignment logic based on configurable parameters, including HL7 messages, DICOM tags, day of the week, time of day, study priority, modality, and other available workflow data. Requirements related to third-party scheduling integrations, notification suspension, and report assignment suspension should be reviewed during workflow and integration planning to confirm the preferred configuration approach.
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Synapse Worklist Orchestrator (SWO)™ has a set of states applicable to exams: Free (Not assigned to any interpreter) Assigned Incomplete (Not ready to be reported) Loaded (Interpreter has exam open) On Hold (Exam will stay assigned to current interpreter) Canceled (Exam is not meant to be reported, eg. prior exam) Reported The default dashboard for each user details the number of exams that have not completed their workflow, for the sites that they have access to in their profile. The state of the exams is displayed, showing how many exams are unassigned, assigned, exceeding SLA, incomplete, or on hold.
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AICloudQA™ has a granular rules-based sampling engine that allows the organization to control sampling rates, allowing for different rates for each type of exam based on data such as modality, exam description, originating site, and original interpreter. AICloudQA™ Intelligent Sampling can also be used to select exams based on an AI model built from past peer review results, to select exams that have a higher likelihood of having a discrepancy. AICloudQA™ operates by selecting reports from the stream of completed reports, and orchestrating the selected exams to appropriate peers using the same workload distribution features of Synapse Worklist Orchestrator (SWO)™.
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SWO dynamically assigns and rebalances work based on configurable operational rules and real-time workload intelligence. Assignment logic can consider urgency, SLA class, current workload, study weight, radiologist profile, credentials, subspecialty, schedule, group-defined logic, and other available metadata. The assignment engine can distribute work fairly and efficiently across eligible radiologists while helping the organization meet turnaround time and service-level objectives. Work can also be reassigned when needed based on changes in workload, priority, coverage, or SLA risk. This enables system-wide workload balancing rather than simple static worklist routing.
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SWO can help manage high-volume surges and urgent operational demand through real-time workload visibility, SLA monitoring, assignment logic, and configurable reassignment rules. When workload increases, priority studies approach SLA thresholds, or coverage gaps occur, the solution can notify appropriate users and support reassignment to eligible radiologists. The system can also use schedule and coverage information to identify gaps, support hot-seat or on-call workflows, and help maintain turnaround time and quality during peak demand periods. This helps the radiology team respond as a coordinated operation rather than relying on manual worklist monitoring.
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Yes. RTM can support AI-based worklist prioritization by displaying AI model findings and alerts directly on radiologist worklists. Alerts can be colour-coded to help radiologists quickly identify studies that may require higher priority review or attention.
This capability can be supported through both native functionality and third-party AI model integrations. Worklist prioritization and filtering rules can be configured using available data such as DICOM tags, HL7 tags, study metadata, time, source, modality, or other relevant workflow parameters. This helps support more efficient study routing, prioritization, and visibility across radiology teams.
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Synapse Worklist Orchestrator (SWO)™ admin user with appropriate site privileges can configure incoming study assignment based on the any producer site sender and in combination with a user-level access privilege making it possible to interpret studies corresponding to all or a subset of all sites.
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Yes. The solution allows a site administrator to make appropriate configuration changes to the system through administrative configuration menus and submenus. Available configuration areas include Operations, Configuration, and System settings.
The Operations menu includes Site Profile Rules, Site SLA, Site Dictionary, Subspecialty Mapping, Body Part Mapping, Study Weight Mapping, Readers Network Mapping, Workflow Mapping, Assignment Rules, RVU, Image Viewer Mapping, Report Templates, and Care Networks.
The Configuration menu includes Subspecialties, Findings Severity, MultiView Configuration, Welcome Page Setup, Additional Information Dictionary, Order Mapping, Body Parts, Review Schemas, SLA Classes, and Modalities.
The System menu includes Services, Support, Timer Task, and License settings.
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Yes. RTM provides operational dashboards that give users visibility into exams that are still moving through the workflow. Dashboard views are based on the sites and access rights assigned to each user profile, helping ensure users see information relevant to their role and authorized locations.
The dashboard can show the current state of exams that have not yet completed their workflow. For non-radiologist users, an additional dashboard section is available to show which radiologists have started automatic assignment. This supports workflow management, operational oversight, and coordination across reporting teams.
Different dashboard views can be supported based on user credentials and access permissions. Requirements for role-specific dashboards, drill-down reporting, and dashboard views for workflow managers, clinic directors, or regional managers should be confirmed during workflow design to ensure the dashboard configuration aligns with management reporting needs.
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RTM supports automated study assignment to radiologist worklists using study weight values. Study weights help the assignment engine and authorized administrative users assess radiologist reading capacity by tracking the study weight completed per minute during a reading session. These values can be used to help determine the maximum number of exams assigned directly to a radiologist’s worklist within a defined period.
Using this study weight mapping approach, Synapse Worklist Orchestrator (SWO)™ can predictively track workload and assign studies to appropriate radiologists. This helps balance capacity, support SLA performance, and route studies based on operational rules and radiologist availability. Administrative users can manage assignment rules and worklist routing, while radiologist-driven assignment workflows can be reviewed based on the client’s preferred governance model.
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Yes. The solution displays the remaining time before the applicable SLA or turnaround time target expires. By default, this remaining time is shown in the radiologist’s worklist for each study, helping users identify studies that are approaching their reporting deadline.
The solution can also support automatic sorting of studies within worklists based on configurable business rules. This may include prioritising studies by urgency, critical status, SLA time remaining, or other agreed workflow criteria.
For priority-based sorting, additional development or configuration may be required. This can include configuring worklist columns or rules so that certain studies, such as Critical or Urgent exams, remain at the top of the worklist and cannot be re-sorted in a way that reduces their visibility.
Final sorting rules, column behaviour, priority definitions, and user permissions should be confirmed during implementation planning.
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The Synapse Worklist Orchestrator system is designed to operate without the necessity of defining reading worklists. Radiologists typically will log in to Synapse Worklist Orchestrator, start a Reading Session, and the system will assign exams to that radiologist that are only visible to that specific radiologist. The exams are distributed to the radiologists as they arrive, taking into account many factors such as priority, subspecialties, requested shifts, SLAs, specific defined rules, and more.
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Synapse Worklist Orchestrator study priority can be based on any data or criteria in any HL7, DICOM, or other data or metadata received by Synapse Worklist Orchestrator. The exams are then mapped to the Service Level Agreement (SLA) class for that priority.
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Yes, the solution allows assignment rules to be created to force assignment of studies referred by a specific physician to a specific radiologist.
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Yes, Synapse Worklist Orchestrator allows a radiologist to refer a study to another radiologist and/or refer the study using a pulldown subspecialty if the name of a radiologist who can read the study is unknown. Also, a study can be rejected from the radiologist's worklist and be re-assigned automatically if the radiologist cannot read the study. To refer or reject a study, the radiologist needs to select a valid reason from a customer configurable reason pulldown list
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Synapse Worklist Orchestrator (SWO)™ user reading session will automatically terminate after a configurable period of time of inactivity (ex. 25 mins) or on a schedule. For example: end of shift.
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Yes. The solution can automatically retrieve studies from external systems, including PACS platforms, based on scheduled orders or when a new DICOM study is received.
This is typically handled through an event-triggering workflow. When a new study arrives, the system can initiate the appropriate exam transfer based on predefined rules and routing logic.
For studies transferred from external systems, deployment usually requires a DICOM router at the external site. In some environments, a VPN connection may also be used to allow the external system to transfer studies securely to an off-site DICOM router or target device.
The system can then route studies to the appropriate DICOM client based on the configured destination, study type, order information, or other routing criteria defined during implementation. Final routing rules and connectivity requirements are typically confirmed during project planning and technical integration.
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Synapse Worklist Orchestrator (SWO)™ user profile credential feature makes it possible to restrict access to a patient examination and file information.
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Yes. SWO provides dashboards and reporting views that support visibility into operational and clinical workflow performance. These dashboards can provide insight into exam status, worklist distribution, workload, SLA performance, TAT performance, radiologist productivity, reading capacity, and other operational indicators. Authorized users can use these dashboards and reports to monitor performance, identify bottlenecks, benchmark against operational goals, and continuously optimize workflow. Data can also be exported where applicable for deeper analysis. These capabilities support both daily operational management and longer-term performance improvement.
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Yes. The solution supports integration with scheduling information through HL7. It can ingest schedule information sent through HL7, as well as through other supported methods such as REST API. The system can also poll a DICOM device using a DICOM query to build a list of immediate studies for pre-fetch.
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Yes. The system provides visibility into partial shift coverage, including partial-hour coverage visualization, allowing administrators to identify staffing gaps at a granular level and optimize staffing decisions.
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Yes. The solution supports authorised users in creating worklists and adjusting worklist criteria through configurable mapping rules.
Worklist criteria can be based on a wide range of available data, including DICOM tags, HL7 tags, time-based metadata, source information, or other available study and workflow metadata. This allows different worklist types to use different filter criteria based on operational needs.
Where additional data elements are required for filtering, evaluation, or storage, they can be configured through the Additional Information configuration. This functionality is designed to support new data elements when they are needed for workflow logic or worklist management.
Based on the current information provided, no unsupported filters have been identified. Any site-specific filter requirements should be confirmed during implementation and configuration review.
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Yes, in Synapse Worklist Orchestrator (SWO)™, a user profile can be configured for each doctor-interpreter to clearly define which sites they can provide reading coverage.
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Yes. The solution supports recording and maintaining radiologist skill sets through configurable subspecialty and credential settings.
Radiologist skills can be managed using the subspecialty configuration. These subspecialties can be configured by modality, allowing the system to reflect the types of studies or exams each radiologist is qualified to support. Skills that do not strictly align with a traditional subspecialty can still be configured as subspecialty values and applied for workflow purposes.
Credentials are managed separately as part of the user profile configuration. Authorised staff can configure which subspecialties and credentials apply to each radiologist, helping support appropriate work allocation, routing, and workflow visibility.
Any required integration with a client’s existing credentialing or skills management system should be reviewed during technical discovery and confirmed as part of the implementation scope
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SWO is highly adaptable to evolving clinical, operational, and business needs. Workflow scenarios can be configured using available data from DICOM, HL7, FHIR, REST APIs, metadata, scheduling systems, and system-generated triggers. The solution can support simple routing rules as well as complex workflow logic involving site, modality, procedure, priority, SLA class, radiologist profile, subspecialty, credentials, time of day, shift coverage, AI-derived findings, and other available data. This flexibility allows SWO to adapt to the customer’s operational model rather than requiring the customer to conform to predefined platform limitations.
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Yes. The solution supports group-based configuration to help simplify administration across multiple sites and workflows.
Site groups can be created to make it easier to manage multiple site configurations by grouping related configuration elements together. Users are generally grouped based on the sites they are credentialed to access.
The solution also supports reader groups, sometimes referred to as reader networks. These groups allow exams to be assigned or dedicated to a specific set of radiologists for reporting. Membership in reader groups is configurable, allowing authorised administrators to manage which radiologists belong to each group.
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Yes. The solution supports manual study assignment to radiologists based on the credentials required to report a study.
When an authorised user manually assigns a case, the system only presents radiologists who have the appropriate credentials for that exam. This helps support compliant assignment workflows and reduces the risk of studies being assigned to radiologists who do not hold the required accreditation.
The solution also allows users to view radiologists, their skill sets, and their accreditations by site or clinic. This provides operational visibility into which radiologists are qualified for specific reporting work within a clinic-based structure.
Viewing radiologist accreditations by Business Unit or Region would require additional development or configuration.
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Yes. The solution supports skill-based study assignment by allowing users to identify radiologists with the appropriate subspecialties or skills required to report a study.
When an authorised user manually assigns a case, the system can present radiologists who have the relevant subspecialties or skill sets configured for that type of exam. This helps users make informed assignment decisions and supports appropriate matching between study requirements and radiologist qualifications.
The solution also allows authorised users to override the suggested skill-based assignment where operationally required. Any override process should be managed in line with the client’s governance, audit, and credentialing policies.
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Yes, the Synapse Worklist Orchestrator (SWO)™ workflow assigner engine can automatically route studies/notifications/required actions to users as needed. In addition to the prebuild assigner engine routing features, the system admin user can add new app rules using either a programmatical and/or UI interface to create complex workflows and/or service level agreement (SLA) routing actions. The system can use any available HL7 or DICOM parameters from RIS/PACS sources to create these routing rules.
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Priority codes can be mapped from different sites based on any DICOM data, HL7 field, or metadata to handle different priority codes (based on urgency, reason for exam, type of visit, patient location, etc.) SLA mappings are handled separately, and while they can be mapped to coincide with priority mapping, they can be configured differently.
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Yes, Synapse Worklist Orchestrator has an internal scheduling module that can be integrated with 3rd-party scheduling applications such as QGenda. Integration requirements typically include a list of tasks/rotations/date/time/Radiologist User names. A scheduling integration working session with the end customer user(s) is recommended to ensure all future state scheduling requirements are defined.
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Only Synapse Worklist Orchestrator users with a system admin role can visualize and modify rules. At this time there is no "view only" rules mode.
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Synapse Worklist Orchestrator (SWO)™ has an alert system that can send reminders (using a proxy SMS, email, or voice message service) to doctors, admins, and/or other system defined user profiles about unread cases and unsigned cases.
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Synapse Worklist Orchestrator (SWO)™ supports the definition of multiple workflows, including double read workflow, as required by the organization. Exams are mapped to their appropriate workflow in the Workflow Mapping configuration. Rules are defined in Workflow Mapping to match exams as they arrive, and assigning them to the appropriate workflow. Mapping rules can be defined to match exams based on any of the exam's data elements including DICOM tags, HL7 data, or metadata such as exam arrival time or what site it originated from. Exams may also be manually assigned to appropriate workflows as necessary with users having the appropriate role and access rights.
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Yes. SWO can integrate with third-party diagnostic viewers when a supported API is available for the desired integration. The viewer launched for each exam can be configured based on the radiologist’s user profile or through Image Viewer Mapping rules. These rules can allow different viewers or integrations to launch for different exams based on DICOM tags, HL7 fields, modality, study type, location, time, or other available metadata. This helps ensure radiologists are launched into the appropriate viewing environment for the specific study and workflow. If a public list of supported viewers is required, this should be confirmed by RealTime Medical before publication.
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Yes. The solution uses standard DICOM commands to query patient and study information and to move imaging data to DICOM-compliant systems.
DICOM routing and brokering are supported through a purpose-built DICOM router. This allows the solution to perform configurable DICOM routing, query/retrieve workflows, and study movement between compatible systems.
Interoperability is supported by using standard DICOM communication methods and by working with systems that conform to DICOM requirements. Connectivity, routing rules, destination configuration, and any site-specific DICOM requirements are typically validated during implementation and interface testing. Orthanc DICOM conformance: https://orthanc.uclouvain.be/hg/orthanc/file/Orthanc-1.12.3/OrthancServer/Resources/DicomConformanceStatement.txt
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Yes. The solution supports standards-based communication with HL7 and DICOM devices through purpose-built third-party interface and brokering software.
These HL7 and DICOM brokers are designed to support standard healthcare communication and imaging workflows. They help manage connections, message exchange, DICOM routing, and data transfer between systems that conform to standard HL7 and DICOM communication protocols and data formats.
The solution can integrate with devices and systems from multiple vendors, provided those systems support compatible HL7, DICOM, or other agreed interface methods. In addition to HL7 and DICOM, the solution may also support other integration approaches, such as REST APIs, where appropriate.
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Synapse Worklist Orchestrator (SWO)™ can initiate prior image fetching. These rules allow the trigger to be any type of received HL7 message and can have logic applied to these rules to control how these rules operate. Typically, when a prior fetch process is implemented, the trigger for prior fetching will first initiate a query to build a list of available prior exams.
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Yes, the solution can handle image compression, decompression, and lossless transmission by using the following capabilities: - leverage the network connectivity established between the appropriate devices and use built in PACS c-move commands (to handle compression, decompression and losses transfers) to the source devices to send to the destination. - or, as necessary, to deploy DICOM routers to transmit images between devices throughout the network, then we would configure the appropriate compression and decompression settings on those routers. Typically, they are configured to compress images as they arrive, and to always use lossless compression.
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SWO is highly adaptable to evolving clinical, operational, and business needs. Workflow scenarios can be configured using available data from DICOM, HL7, FHIR, REST APIs, metadata, scheduling systems, and system-generated triggers.
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It takes 4 steps "Clicks" to refer a single case to another radiologist worklist. These "clicks" are: Select "Refer Study" Select "to another reader" or "to a specialist group" Select radiologist "name" or "specialist group" "Submit"
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There is no real maximum number of filtering parameters. The filtering parameters can consist of any DICOM tag, HL7 tag, or any available metadata such as time of day or source. Any additional filter criteria can be accommodated by configuring new elements as data parameters in the "Additional Information" configuration interface designed for this purpose. Please list any filtering restrictions. There are no known filtering restrictions.
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Synapse Worklist Orchestrator (SWO)™ uses worklist grids and dashboards to present study status, workload distribution, and user activity. Dashboards support interactive functionality, including the ability to select and act on rows directly within dashboard tables. Additional enhancements include the display of routine workload weights, and visibility into session activity such as last access, enabling improved operational awareness and productivity tracking.
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Synapse Worklist Orchestrator (SWO)™ can display patient exam history in the worklist in free state, in progress, complete, preliminary and final.
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RTM Customisation Support: Yes, the solution vendor allows for customers to customize Synapse Worklist Orchestrator (SWO)™ configuration AND still maintain support. Unfractured/middleware will require vendor support.
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Synapse Worklist Orchestrator (SWO)™ can use an external LDAP authentication server for login access. Membership in groups must be defined within Synapse Worklist Orchestrator (SWO)™.
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Yes. SWO and AICloudQA™ support closed-loop critical results and actionable findings workflows. The solution can generate automated alerts and escalations, route notifications to defined recipients, track acknowledgement, and maintain a full audit trail of communication activity. Referring physicians or authorized recipients can authenticate and access relevant results, supporting timely communication and patient safety. Escalation logic can be configured so that unacknowledged findings are routed to additional recipients or teams based on defined rules. This closed-loop workflow helps reduce communication risk, strengthen auditability, and support compliance with critical result communication requirements.
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Yes, the system supports multiple levels of security access. Radiologist users, "readers", are the users who can perform the reporting workflows in the system. Any user can have changes to add or remove permissions once created.
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Synapse Worklist Orchestrator (SWO)™ Admin user will view Advanced Worklist event audit log in the admin UI, filter by the user, or optionally other parameters, and then download a CSV report of the results. Audit tracks 68 actions/events relating to authentication, patient access, exam status changes, workflow actions, and configuration actions. The audit trail is viewable and searchable within the Synapse Worklist Orchestrator (SWO)™ UI.
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The solution supports customised reporting by allowing the customer to define the required report content, format, and delivery frequency.
Once a custom report request is reviewed and approved, the report is designed according to the agreed requirements. Reports can then be delivered by email or through another agreed delivery method, based on the requested reporting schedule.
Custom reporting requirements should be confirmed during project planning, including the data fields, layout, frequency, recipients, and delivery method. Any additional costs associated with customised reporting will be clarified in the contract or statement of work.
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Application authenticates its own users with password authentication against LDAP, Active Directory or locally. The application is web based and independent from OS authentication. Password authentication used for RDBMS connection accounts.
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Typical enterprise training is delivered over approximately 105 days and includes training for radiologists, technologists, and system administrators. The exact training schedule may vary based on the size of the organisation, number of users, workflow complexity, and implementation scope.
Additional practice time may be required for some users to build confidence and competency. This is typically based on the individual user’s role, prior experience, and familiarity with similar systems.
Training is role-based and generally includes an overview of the system, its capabilities, and the workflows relevant to each user group. System administrator training covers menus, administrative workflows, and configuration settings. Radiologist training covers menus, radiologist workflows, and user settings. Technologist training covers menus, technologist workflows, and user settings.
The final training plan, duration, delivery format, and any practice or refresher training requirements should be confirmed during implementation planning.
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Synapse Worklist Orchestrator (SWO)™ worklist can be temporally filtered by modality with a selected time period (for example: no filter, last 24 hours, current month, any month, last 365 days, any year, and date range).
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Synapse Worklist Orchestrator (SWO)™ admin user is able to review any account user access history from the admin audit interface. User access details can be viewed online or downloaded for further analysis.
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Yes, the solution would have a separate column that would indicate the existence of any AI findings associated with the study.
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PRTG Network Monitor has been shown to be an adequate tool for monitoring the components of Synapse Worklist Orchestrator (SWO)™ and associated components. https://www.paessler.com/prtg
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Synapse Worklist Orchestrator (SWO)™ system administration interface uses https://.
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The solution Support staff are responsible for overall control of the administration hierarchy; however, user roles can be created that have user administration permissions to manage users for the system.
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Yes, the solution default behavior is as referenced in (previous question). Exams that arrive are assigned to radiologists based on a number of factors, or are available to groups of radiologists depending on configuration.
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Yes, the solution supports AI-triaging of study images and can support prioritising studies based on the AI results. We can integrate and config using the AI model APIs, as needed, dev any unique requirements.
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Yes, the radiologist can route a notification to another user through the reporting screen User interface or via the SWO RadTalk tool, which allows encrypted direct messaging (DM) between online or offline radiologists, technologists, or site admin users. For example, a radiologist user can request a consult with another radiologist in RadTalk and provide a launchable link to the study to be shared. Or a technologist can direct-message a radiologist asking for protocoling guidance for a complex case.
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Yes. The platform supports insurance-provider-aware assignment, ensuring that only appropriately credentialed radiologists are eligible for studies tied to specific insurance providers.
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Synapse Worklist Orchestrator (SWO)™ and AICloudQA™ keeps event logs that reflect user actions and system events. Any user action or system events, such as report a study, place a study on hold, study is in free state, study is loaded, etc are logged. System admin users can view these logs as required.
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Synapse Worklist Orchestrator (SWO)™ supports urgent findings notifications to communicate abnormal results by text, email or voicemail to anyone configured to receive notifications in the system (specific physician, and/or user group).
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Yes. The solution supports most standard radiology reporting workflows as built-in functionality, including routine reporting, peer review, dual-blind reads, mammography reporting, returning studies to administration, returning studies to technologists, voice recognition reporting, typist reporting, and addendum reporting.
Additional workflows, such as co-reporting, second opinion workflows, MDT workflows, research and teaching workflows, or other customer-specific processes, can be configured to align with the customer’s operational requirements. These workflows may require configuration during implementation to ensure the correct routing, permissions, worklists, statuses, and reporting steps are in place.
Based on the information provided, no listed workflow has been identified as unsupported. However, some workflows may be partially supported through configuration rather than standard out-of-the-box functionality. The final workflow list should be validated during implementation planning, including whether each workflow is built-in, configurable, or requires additional development.
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Yes. The solution can query configured DICOM archives to identify and retrieve relevant prior studies.
Prior study fetching can be supported through a configured body part dictionary and DICOM query logic. The system can query the appropriate DICOM devices for studies associated with a patient, typically using Patient ID as the primary matching criterion. It then builds a list of prior exams and retrieves the relevant studies from that list based on the configured workflow rules.
Where more complex or customer-specific prior fetching logic is required, additional criteria can be reviewed and configured through the interface engine. This may include requirements related to patient demographics, body part, modality, exam type, date range, source archive, or other available metadata.
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Users can: Assign ownership of issues Track resolution status Restore and reassign studies once resolved Coordinate across radiologists, technologists, and admin staff This ensures no study is lost, delayed, or unaccounted for in the workflow.
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Yes. The solution allows radiologists to unassign studies by rejecting studies that have been assigned to them by the system, an administrator, or a workflow manager.
The solution can also prevent radiologists from unassigning studies that were assigned to them by another authorised user. This supports controlled workflow management where certain assignments must remain in place unless changed by an appropriate administrator or manager.
Radiologist self-assignment is not currently available as standard functionality. Additional development or configuration would be required to allow radiologists to assign studies to themselves.
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Synapse Worklist Orchestrator (SWO)™ is a very configurable application that allows customers to advise how they want events/notifications to be handled. The application typically requires the user to acknowledge a notification by selecting "Ok" or selecting an appropriate action. For example, the user may be notified that another user has referred a study to them. If configured to do so, the user must accept the referral before it is assigned.
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The solution vendor releases are driven by our Agile development process. Release timing is driven by external and internal customers' priority needs to deploy new features or changes.
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Yes, the solution can display the total number of studies within a worklist. The maximum total studies that can be on a single radiologist worklist is 2,000. If more is required, we can increase that number. The default page size is 20, but that is configurable.
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Yes, the solution allows available worklist columns as standard across all radiologist worklists. Each radiologist can configure the visibility of the available columns. Development is required to allow the authorised users to configure the available columns.
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Synapse Worklist Orchestrator (SWO)™ solution rules for each site are centrally configurable by admin users with the appropriate credentials via a web user interface (UI).
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Yes, site can distribute and install local workstation applications. Our service/support staff will be responsible for server-side software install and updates.
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Yes. Backup solutions can be used to back up the solution virtual machines, including configuration files, databases, and related system components. VMware is one example of a supported backup approach.
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Yes. The solution provides system administration access through an admin UI that can be accessed using a browser interface. The browser interface depends on a system user session and configuration cookies. No specific Java version dependency was identified in the provided response.
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Synapse Worklist Orchestrator (SWO)™ is configurable to allow users to belong to several user groups. As an example: general, Neuro, etc.
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Yes, if there is no database change between versions. Otherwise, it could be a complex task to revert the database.
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The system's configuration backup can be performed while the system is running. Interface engine configurations can also be backed up while the system is running. SQL can be replicated in real-time.
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Typical backup solutions that back up files, databases, and virtual machines are adequate for performing backups of the Synapse Worklist Orchestrator (SWO)™ server and related components. The solution does not require or provide a specific backup software integration.
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Yes. The solution supports pre-fetching to both single and multiple destinations. This can be configured by defining multiple rules in the event triggering engine or by configuring the interface engine to handle multiplexing of fetching tasks. For straightforward pre-fetching requirements, configuration can be completed through the GUI within the event triggering engine. For more complex pre-fetching logic, custom interfaces can be written in the interface engine.
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The backup can be automated by using external backup tools (i.e. VMware, etc) by using: VM backup scheduling, or OS based task scheduling. SQL platform snapshot scheduling etc.
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Synapse Worklist Orchestrator (SWO)™ is configurable to support several user groups (example: general, neuro, etc) with set user role access privileges.
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The solution "Synapse Worklist Orchestrator (SWO)™" operates by triggering and processing events, and unprocessed events are queued in a message broker. In the case of a failure, unprocessed events will queue and would be processed by the backup Synapse Worklist Orchestrator (SWO)™ server. Interface engines also queue and reprocess jobs upon restart. Some in-process transactions may be lost in the event of an unscheduled restart.
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Yes, the client workstations will automatically receive client updates securely over SSL when a new version is detected upon login.
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RTM is proposing the following system backup regime: - DB replication in real time, also periodic snapshots for rollback if required. - Periodic backup of Synapse Worklist Orchestrator (SWO)™ configuration files or the virtual machines they reside on. - Periodic backup of interface engine configuration files, or VMs they reside on.
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Yes. The solution provides scripting capabilities for defining filtering logic and criteria across multiple rules engines, including event triggering, subspecialty mapping, viewer mapping, and related workflow areas. Basic configuration can be managed through the applicable rules engines, depending on the workflow requirement. For advanced customization, custom interfaces can be defined within the interface engine using JavaScript. This allows programmatic filtering, logic, and workflow configuration to support specific operational requirements.
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RTM’s software can act as an orchestration and integration layer for AI outputs. AI metadata can be used to support prioritization, triage, routing, worklist indicators, and workflow rules when configured with the client. This helps buyers adopt AI tools without forcing every workflow into a single vendor environment.
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AICloudQA™ is RealTime Medical’s quality and peer learning platform. It supports advanced skills development, peer support, mentoring, and continuous quality assurance within diagnostic imaging workflows. It is positioned as part of AICloudSuite™ and can complement workflow orchestration by supporting diagnostic quality improvement.
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AICloudSuite™ brings together AICloudWorks™, AICloudQA™, and AIKnowledgeEnable™. AICloudWorks™ supports workflow orchestration and dynamic workload balancing. AICloudQA™ supports peer learning and continuous quality assurance. AIKnowledgeEnable™ supports access to clinical knowledge and literature during diagnosis or learning workflows.
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AICloudWorks™ applies context-aware workflow management to diagnostic imaging. It can use DICOM, HL7, metadata, rules, site context, radiologist profile information, priority, and operational requirements to route and assign work. The goal is to align each study with the right radiologist, workflow, and service objective.
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RealTime Medical cites customer productivity gains in the 15% to 47% range for AICloudWorks™. Workflow orchestration and workload balancing can help increase diagnostic capacity without relying only on additional headcount. Results vary by organization based on workflow complexity, case volume, staffing model, and implementation scope. Buyers should evaluate expected productivity impact against their own baseline and operational goals.
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AICloudWorks™ is architected for large-scale implementations and references a single instance capable of handling 40 million transactions per year. This is a performance proof point, not a universal contractual guarantee for every deployment. Expected volumes, test conditions, architecture, and service levels are confirmed during solution design and contracting. This helps ensure the final configuration matches the client’s operational requirements.
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RTM software can reduce burnout drivers by helping distribute work more fairly, limiting manual worklist hunting, matching cases to eligible readers, and monitoring workload in real time. It can also support peer learning and quality workflows that are less punitive than traditional review models. Burnout claims should be supported by client-specific data where possible.
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Diagnostic operations software coordinates the operational layer of radiology work. It manages worklists, assignment rules, workload balancing, SLA monitoring, radiologist eligibility, scheduling inputs, dashboards, and workflow status. RTM positions AICloudWorks™ and related products as a diagnostic operations platform for complex, multi-site radiology environments.
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Many radiology buyers now view PACS capabilities as necessary but not sufficient for operational improvement. Workflow orchestration controls how work is prioritized, routed, balanced, escalated, and monitored across radiologists and sites. RTM’s software message should focus on operational outcomes such as turnaround time, workload equity, productivity, quality, and burnout reduction.
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AICloudSuite™ includes automated critical results management as part of its value proposition. The intended benefit is to reduce manual handoffs and support consistent escalation of urgent findings. Configuration depends on the client’s workflow, communication policy, documentation requirements, and governance model. RealTime Medical works with clients to align the configured process with operational and clinical requirements.
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RealTime Medical reviews accessibility requirements as part of procurement and implementation planning. For software interfaces, dashboards, portals, and user documentation, accessibility expectations can be discussed against applicable customer, legal, and jurisdiction-specific requirements, including WCAG-related requirements where relevant. Formal compliance claims should be confirmed through current product and legal review before being included in a final proposal or contract.
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In a Hackensack Radiology Group deployment, SWO was associated with improvements across productivity, turnaround time, workload equity, communication, and burnout-related measures. Reported outcomes included a 20.7% increase in non-call radiologist RVU per day, a 25.2% reduction in average ER report turnaround time per radiologist, a 45.0% reduction in RVU/day standard deviation, a 55.2% reduction in coefficient of variance, 80.3% of radiologists reporting improved fairness, 72% reporting less fatigue, and 86.8% reporting less stress related to managing long worklists.
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In preparation for a large enterprise radiology opportunity, RealTime Medical’s AICloudSuite solution was load-tested at 26 million exams per year, with 200 radiologists launching reading sessions simultaneously. The solution assigned the first cases across all worklists in 63 milliseconds. Actual performance expectations should be confirmed against each client’s final architecture, exam volume, workflow complexity, and implementation model.
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Yes. SWO is designed to support client-specific clinical, operational, and business requirements through configurable workflow rules, assignment logic, reading networks, SLA classes, notification triggers, site-specific requirements, radiologist profiles, subspecialty routing, and operational dashboards. During implementation, RealTime Medical works with the customer to understand current workflow scenarios, service-level targets, staffing models, operational priorities, and strategic goals. After go-live, the solution can continue to evolve as the customer’s operation changes.
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Infrastructure requirements depend on the client’s volume, deployment model, redundancy requirements, and integration scope. For a 1 million studies/year environment, the latest master document lists separate server and high-availability server specifications for the SWO assignment engine and SQL database. The assignment engine is specified at 6 vCPUs, 24 GB memory, and 100 GB SSD storage, while the SQL database is specified at 8 vCPUs, 64 GB memory, and 100 GB SSD storage, with corresponding high-availability servers. These specifications are Linux-based; Windows deployments require additional resources. Final sizing should be confirmed during solution design.
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RealTime Medical provides support for its software solutions through implementation support, remote technical support, technical and end-user training, administrator documentation, configuration guidance, troubleshooting documentation, backup and restore documentation, failover/failback documentation, and disaster recovery documentation. For Synapse Worklist Orchestrator (SWO)™, support can include technical assistance for RealTime Medical solution components, system configuration, workflow rules, integrations, dashboards, and operational monitoring. The software also supports operational SLA management within the workflow itself. Facility-specific turnaround-time and SLA targets can be configured, studies can be mapped to SLA levels using HL7, DICOM, or metadata, and worklists/dashboards can display SLA status, time remaining, unassigned studies, assigned studies, incomplete studies, on-hold studies, and studies exceeding SLA. Formal support hours, severity levels, response targets, restoration targets, maintenance windows, uptime commitments, escalation paths, and contractual remedies should be defined in the applicable service agreement, support agreement, or statement of work.
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RealTime Medical supports diagnostic imaging departments by providing remote reading capacity, access to subspecialty expertise, technology-enabled workflow management, and collaborative communication with local teams. This helps departments respond to demand without relying only on local staffing.
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RealTime Medical has provided around-the-clock radiology collaboration services since 2008. The service has grown through long-term partnerships with hospitals and healthcare organizations that need consistent teleradiology support.
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Yes. Teleradiology can allow hospitals to extend reporting coverage without immediately increasing the size of the local radiology team. This is especially useful for smaller sites, rural hospitals, and organizations with limited recruitment options.
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Yes. Additional remote reading capacity can help reduce exam backlog by moving studies through the reporting workflow faster. Backlog reduction is most effective when priorities, worklist routing, service levels, and report delivery processes are clearly defined.
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Yes. By adding remote reporting capacity and improving workflow efficiency, RealTime Medical can help health systems increase diagnostic imaging throughput, reduce delays, and better serve patients across multiple sites.
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Yes. RealTime Medical can provide additional capacity when demand increases unexpectedly, including emergency spikes, seasonal peaks, staffing shortages, and high-volume periods. This helps hospitals maintain timely reporting under pressure.
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Teleradiology improves resource use by allowing radiologists to work across locations, matching studies with available expertise, reducing idle capacity, and helping local teams focus on patient-facing work. It can also reduce manual steps for technologists, nurses, and physicians.
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Hospitals can expect stronger coverage continuity, faster reporting, better use of radiologist expertise, reduced on-call strain, improved emergency department support, reduced backlog, and more flexibility during staffing or system disruptions.
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Additional costs may apply for implementation, post-implementation customization, interface changes, or minimum-volume commitments. Exact costs and commercial terms are confirmed in the applicable proposal, agreement, or statement of work.
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Buyers should ask whether radiologists are Canadian licensed, whether they are licensed in the relevant province or territory, how hospital credentialing is handled, what documentation is required, and how ongoing compliance is maintained.
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Buyers should ask how pricing is structured, what is included, what implementation costs may apply, how after-hours or urgent coverage is handled, whether there are minimum commitments, and how Teleradiology compares with local staffing or locum alternatives.
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Buyers should ask whether the service can support multiple sites, increasing imaging volume, additional modalities, new priority levels, emergency spikes, planned expansions, and temporary coverage needs without major workflow disruption.
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Yes. RealTime Medical teleradiology can help avoid unnecessary transfer for interpretation alone when a patient can be imaged locally but the site lacks immediate radiology interpretation. Clinical transfer decisions still depend on the patient's condition and care requirements.
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RealTime Medical teleradiology can help reduce emergency department delays by returning imaging reports faster and supporting timely clinical decisions. The impact depends on workflow integration, report delivery, ordering practices, and overall emergency department operations.
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Yes. RealTime Medical teleradiology can connect hospitals with subspecialist radiologists who may not be available on site. This supports more advanced interpretation, second opinions, and improved care access for smaller or remote facilities.
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Yes. RealTime Medical teleradiology is especially valuable for rural hospital imaging because it connects local imaging exams to remote Canadian radiologist expertise. This improves access to interpretation without requiring patients to travel to larger centres for every diagnostic need.
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RealTime Medical teleradiology is designed for Canadian hospitals that need Canadian licensed radiologists, hospital credentialing alignment, reliable 24/7/365 coverage, rapid turnaround times, secure technology, workflow integration, and collaborative communication with local teams.
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Yes. RealTime Medical's teleradiology model enables radiologists to support diagnostic imaging interpretation remotely, using secure workflow technology and agreed clinical processes. The specific arrangement depends on licensing, credentialing, availability, modality coverage, and operational requirements.
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Yes. Radiologists working with RealTime Medical must follow applicable hospital standards, credentialing requirements, privacy obligations, clinical expectations, and service workflows for the sites they support.
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No. Remote radiologists work within the client's clinical and operational framework. They support the hospital team through timely reporting, communication when needed, and alignment with local standards and workflows.
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Yes. RealTime Medical is continually open to connecting with qualified radiologists who are interested in supporting teleradiology services. Interested radiologists can learn more and submit their information through the dedicated radiologist hiring page: https://realtimemedical.com/radiologist-positions/
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Radiologists must be legally able to work in Canada, currently be registered or able to be registered for an Independent License with the College of Physicians and Surgeons of Ontario, have demonstrated experience interpreting CT studies, and have full command of the English language.
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Yes. Teleradiology is useful when local radiologists are on vacation, away for conferences, or otherwise unavailable. RealTime Medical can help maintain reporting continuity without forcing the local team to absorb all additional on-call or coverage pressure.
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Yes. RealTime Medical's teleradiology service is strengthened by software developed internally for diagnostic imaging workflow, quality, and collaboration. This combination allows the service to operate as a technology-enabled radiology network rather than a manual remote reading process.
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Yes. RealTime Medical teleradiology can support overnight reads when credentialing, privacy, technical integration, and service expectations are properly established. Its around-the-clock coverage helps hospitals maintain diagnostic imaging workflows during nights, weekends, holidays, and other hard-to-staff periods.
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Yes. RealTime Medical teleradiology can provide remote interpretation when a hospital does not have on-site radiology coverage. The service helps maintain diagnostic imaging continuity while the hospital keeps local control of clinical operations, credentialing, and governance.
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No. RealTime Medical's teleradiology service is intended to complement local radiologists and function as an extension of the diagnostic imaging department. The service supports local coverage, capacity, and continuity without removing local clinical leadership.
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A hospital or diagnostic imaging organization can contact RealTime Medical to discuss its current coverage needs, imaging volumes, modalities, workflow, turnaround expectations, technical environment, and implementation requirements. From there, RealTime Medical can help assess whether teleradiology is a fit and define the appropriate service model.
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RealTime Medical addresses quality through Canadian licensed radiologists, hospital credentialing, subspecialty expertise, peer learning, workflow technology, and collaboration with local teams. Quality expectations should be part of the service model and governance process from the beginning.
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Teleradiology helps clinicians receive diagnostic imaging results faster, especially during nights, weekends, holidays, staff shortages, and high-volume periods. Faster access to reports can support faster treatment decisions, better patient flow, and improved continuity of care.
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RealTime Medical positions teleradiology as a collaboration service rather than a transactional remote reading service. What really sets RealTime Medical apart is that we offer reliable coverage you can count on and top-notch service every time. You will always know that when you work with us, the service will be steady, and the quality will be something you can trust, every step of the way. The model combines Canadian radiologist coverage, local control, workflow technology, quality processes, and direct clinical communication so the service can function as part of the client's diagnostic imaging operation.
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Yes. RealTime Medical is a Canadian-owned and operated teleradiology provider. Its radiology network is built around Canadian licensed radiologists who support Canadian healthcare organizations and follow applicable local credentialing and facility requirements.
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RealTime Medical has specific expertise in radiology quality methodology and quality systems, including experience supporting radiology quality audits for provincial ministries of health, hospital networks, and the Canadian Medical Protective Association (CMPA). This experience supports its approach to teleradiology governance, peer learning, reporting quality, and diagnostic imaging performance improvement.
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AICloudWorks™ is RealTime Medical's workflow management platform for diagnostic imaging operations. It supports distributed reading, worklist management, collaboration, service-level monitoring, and workflow optimization across sites and radiologists.
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RealTime Medical provides teleradiology collaboration services through RealTime Radiology™, supporting hospitals and clinical teams with remote diagnostic imaging interpretation and reporting. The service is designed to operate as a reliable extension of the on-site diagnostic imaging team, helping clients maintain coverage, speed, quality, and access to radiology expertise.
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RealTime Radiology™ is RealTime Medical's teleradiology service. It gives healthcare organizations access to Canadian radiologists who can interpret diagnostic imaging studies remotely, support local care teams, and help maintain timely reporting across sites and service periods.
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The main value is reliable access to radiology expertise when and where it is needed. RealTime Medical helps hospitals improve turnaround times, manage staffing gaps, reduce backlog, support emergency and after-hours reporting, and maintain continuity of diagnostic imaging operations.
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RealTime Medical can support community hospitals, rural and remote hospitals, acute care facilities, urgent care centres, multi-site healthcare systems, and specialized diagnostic imaging operations. The service model can be scoped based on local workflow, modality mix, reporting needs, and implementation requirements.
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Yes. RealTime Medical can provide on-demand radiology capacity when emergency imaging demand spikes. This may include support during mass casualty events, sudden volume increases, or periods when local reporting resources are overwhelmed.
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Yes. Teleradiology can help rural hospitals integrate their imaging services with broader hospital networks, shared EMR environments, and regional care pathways. This supports continuity and consistency across sites.
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Yes. Around-the-clock remote reading can reduce overnight delays by allowing studies to be interpreted after hours. This can help clinicians receive results in minutes rather than waiting until the next day in appropriately configured workflows.
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Yes. RealTime Medical can provide additional coverage for unexpected staffing issues when the service model, client credentials, workflow, and communication pathways are already in place. Faster response is easier when contingency planning has been completed before an urgent need occurs.
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Yes. RealTime Medical can support PACS downtime workflow planning so imaging operations can continue during planned maintenance, upgrades, or unexpected system issues. The exact downtime process should be defined with IT and clinical operations before it is needed.
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Yes. RealTime Medical can support smaller community hospitals, rural sites, and larger multi-site systems. The service can be adapted for different scale requirements, including single-site coverage, multiple sites, shared workflows, and system-wide support.
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Yes. RealTime Medical can support organizations that combine acute care, long-term care, primary care, and diagnostic services when imaging workflows and report access are properly integrated across the care setting.
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Yes. RealTime Medical teleradiology can support hospital network expansion by allowing multiple sites to share radiology expertise, standardize workflows, and maintain service continuity across locations. This is useful for regional health networks and multi-site hospital groups.
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RealTime Medical can offer a more consistent and scalable alternative to some locum arrangements by providing remote coverage, broader radiologist access, workflow technology, and continuity. This can reduce uncertainty, travel-related costs, and dependency on short-term staffing.
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RealTime Medical supports rural hospitals by providing access to radiologists when local on-site coverage is limited or unavailable. Remote reporting helps rural clinicians receive timely diagnostic results without needing to transfer patients only to obtain interpretation.
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Teleradiology can reduce the need for patient transfer when the main issue is access to radiology interpretation. By connecting local imaging to remote radiologist expertise, patients can often receive diagnostic support within their own community.
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Teleradiology helps improve access by connecting patients in smaller, rural, or remote communities to radiology expertise that may otherwise be concentrated in larger urban centres. This supports more timely diagnosis regardless of geography.
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Teleradiology reduces operational risk by providing backup coverage, access to additional radiologists, workflow continuity, and an alternative path for reporting when local resources or systems are strained. This makes diagnostic imaging operations more resilient.
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Diagnostic imaging is central to emergency care, inpatient decisions, and treatment planning. When reporting is delayed, patient flow and clinical decisions are affected. Continuity planning helps ensure imaging results remain available when staffing or technology challenges occur.
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Rural and remote communities may have limited access to on-site radiologists and subspecialists. Teleradiology helps close that access gap by allowing diagnostic images to be interpreted remotely, supporting faster care decisions closer to home.
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Yes. RealTime Medical teleradiology can help reduce fatigue by sharing after-hours, overnight, weekend, and holiday reporting. This can allow local radiologists to be more available during daytime hours, reduce repeated night-call pressure, and support more sustainable scheduling for the local team.
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Yes. RealTime Medical can support full-time remote reading when a healthcare organization needs a remote radiology service as its primary reading model. The final scope depends on modality mix, reporting volume, clinical workflow, local leadership requirements, credentialing, and technical integration.
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Yes. RealTime Medical can provide supplemental capacity when local radiologists need support. This may include overflow worklists, high-volume periods, after-hours coverage, backlog reduction, or backup reading when local resources are unavailable.
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Yes. RealTime Medical can provide additional remote reading capacity during seasonal peaks, sudden volume increases, holidays, and other temporary demand spikes. This helps sites protect turnaround times without making permanent staffing changes for short-term needs.
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Yes. RealTime Medical can support small community hospitals that need reliable reading coverage but do not have enough volume or staffing to justify full-time on-site radiology resources for every modality or service period.
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Yes. RealTime Medical teleradiology can reduce on-call pressure for local radiologists by sharing after-hours, holiday, overflow, and emergency coverage. Better workload distribution can help reduce burnout risk and improve sustainability of local radiology services.
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Yes. RealTime Medical offers 24/7/365 teleradiology coverage to support clients across nights, weekends, holidays, urgent periods, and routine operational needs. Coverage details are finalized based on the client's service agreement, modality requirements, site structure, and credentialing process.
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Teleradiology can cover nights, weekends, holidays, and high-pressure after-hours periods so local radiologists do not carry the full on-call burden alone. This can improve work-life balance and reduce burnout risk for local teams.
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RealTime Medical helps by adding remote radiology capacity when local teams are short-staffed or when local coverage cannot meet demand. This can reduce pressure on on-site radiologists and help maintain service levels during staffing gaps.
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Teleradiology can reduce costs by lowering reliance on travel, locum arrangements, and permanent local staffing for volumes that may not justify full-time hires. It can also improve operational efficiency by reducing delays, manual intervention, and backlog pressure.
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No. Emergency reporting is an important use case, but teleradiology can also support routine studies, after-hours coverage, overflow reading, backlog reduction, subspecialist access, coverage during vacations or holidays, and continuity planning during technical or operational disruptions.
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RealTime Medical can help with after-hours reading, night shifts, weekend and holiday coverage, sudden increases in volume, vacation coverage, staffing shortages, backlog pressure, emergency reporting, and temporary support during local service disruptions.
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Yes. RealTime Medical provides:
- 24/7 remote phone and email support
- 24x7x365 technical support
- Round-the-clock operational coverage
- Technical support for all RealTime Medical solution components
- Support for the teleradiology collaboration service
- End-user training -
Canadian hospitals may look for RealTime Medical teleradiology when they need faster diagnostic reporting, overnight coverage, emergency imaging support, subspecialty access, second opinions, rural and remote care support, backlog reduction, or continuity during staffing and technology disruptions.
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Teleradiology is becoming more important because hospitals and radiology practices need faster turnaround times, emergency reporting support, earlier diagnosis, second opinions, and access to subspecialty expertise, especially when local staffing is limited. It also helps organizations respond to growing imaging demand, after-hours coverage needs, and shortages in specialized radiology areas.
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Many RealTime Medical radiologists are fellowship trained, with expertise across multiple diagnostic imaging areas. Fellowship and subspecialty coverage should be matched to each client's modality mix, clinical needs, and credentialing requirements.
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Kemptville District Hospital improved turnaround times, reduced manual intervention, supported 24/7 reporting, and strengthened workflow efficiency for emergency, inpatient, and diagnostic imaging teams. The service also supported X-ray, ultrasound, mammography, and BMD coverage.
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Yes. Teleradiology allows subspecialist radiologists to review imaging remotely and provide second opinions without requiring patient transfer. This can be especially useful for rural hospitals, smaller sites, and organizations without on-site subspecialty coverage.
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Yes. CT and MRI are part of the core modality areas supported by RealTime Medical's teleradiology network. Coverage is planned based on urgency, subspecialty needs, worklist design, and client turnaround expectations.
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Yes. Bone mineral density can be supported as part of RealTime Medical's teleradiology modality coverage. The exact BMD workflow should be confirmed during implementation based on site systems, report requirements, and radiologist availability.
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Yes. RealTime Medical has supported mammography workflows as part of teleradiology coverage. Mammography support should be scoped carefully with the client to confirm credentialing, quality standards, report workflow, follow-up process, and local program requirements.
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Yes. RealTime Medical can support ultrasound reporting where the workflow, images, requisitions, comparison studies, and report delivery process are appropriately integrated. Ultrasound coverage should be aligned with site-specific clinical and technical requirements.
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RealTime Medical can support subspecialty areas such as musculoskeletal imaging, neuroradiology, mammography, CT colonography, body imaging including GI/GU, chest imaging, and other areas based on available radiologist expertise and client requirements. We have subspecialty trained radiologists although call coverage is not subspecialty based.
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Yes. Subspecialty expertise is valuable because clients often need access to radiologists who can support specific modalities, complex cases, and second opinions. RealTime Medical's network includes radiologists with fellowship and subspecialty experience. Radiologists must also have demonstrated experience interpreting CT studies.
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RealTime Medical's teleradiology service works with a broad network of 60+ radiologists, many of whom are fellowship trained. Network size and subspecialty availability should be confirmed for each opportunity.
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RealTime Medical can support a wide range of modalities, including MRI, CT, PET, X-ray, ultrasound, Doppler, BMD, nuclear medicine, echocardiography, mammography, and other modalities depending on the client scope and radiologist coverage available. The agreement states that RealTime Medical provides reporting services for most imaging modalities and subspecialties. The fee schedule specifically references:
- CR/X-ray
- Ultrasound
- CT
- MRI
- Bone Mineral Density (BMD)
- Nuclear Medicine
- Echocardiography CR/X-ray is included among the supported modalities, and the workflow documentation contains dedicated X-ray reporting processes. -
Buyers should ask which modalities are supported, whether subspecialty reads are available, whether mammography or BMD reporting is included, how urgent studies are prioritized, and whether coverage can expand as service needs change.
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Hospitals should evaluate radiologist credentials, licensing, subspecialty coverage, peer learning, report quality, turnaround performance, communication processes, escalation procedures, service consistency, and clinical governance.
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A hospital should evaluate radiologist credentials, licensing, subspecialty coverage, modality coverage, turnaround times, quality processes, communication, security, privacy, implementation experience, technology integration, scalability, reporting metrics, and overall cultural fit with the local care team.
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RealTime Medical maintains a network of Canadian radiologists who are licensed in the jurisdictions they serve. Radiologists are locally present or licensed in the relevant province or territory, depending on the client site and service requirements. Credentialing is aligned with the client facility's process and standards.
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No. Turnaround times depend on the contracted service level, modality, priority category, site workflow, technical integration, report delivery process, and volume. RealTime Medical aligns turnaround expectations with each client during service design.
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Yes. RealTime Medical supports emergency department imaging workflows by helping deliver fast reporting for urgent and STAT studies. This can help emergency physicians receive results quickly and make timely treatment decisions.
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Yes. RealTime Medical can support outpatient imaging when the workflow, reporting expectations, modality coverage, and report delivery process are defined during implementation. Teleradiology can help outpatient programs manage volume, maintain service levels, and reduce backlog.
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Yes. RealTime Medical teleradiology can help reduce backlog by adding remote reading capacity and routing studies to available radiologists. Backlog reduction should be planned with clear priorities, service levels, reporting workflows, and performance tracking.
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Yes. Turnaround performance can be tracked as part of the teleradiology service model. Reporting expectations, performance metrics, escalation rules, and review cadence should be agreed with the client during implementation and governance planning.
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Yes. RealTime Medical's quality and security governance measures include adherence to Canadian Association of Radiologists (CAR) teleradiology guidelines. The service is also supported by structured workflows, escalation procedures, audit logging, privacy and security processes, access controls, disaster recovery capabilities, and end-to-end tracking of study status, assignments, and turnaround times.
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RealTime Medical helps emergency departments by routing urgent imaging to available radiologists and returning reports quickly. Faster access to imaging results supports earlier diagnosis, treatment decisions, discharge planning, and patient flow.
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Yes. Buyers should ask for relevant examples, case studies, references, or approved client outcomes that show how the provider performs in real hospital environments. RealTime Medical can use approved client examples to explain implementation, workflow impact, turnaround performance, rural access, and continuity benefits.
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RealTime Medical has several quality and security governance measures, including; Adherence to Canadian Association of Radiologists (CAR) teleradiology guidelines; Structured workflows and escalation procedures; Full audit logging of system activity; Privacy and security audits; Rules-based access controls; Formal security incident response procedures; Disaster recovery and failover capabilities; End-to-end tracking of study status, assignments, and turnaround times RealTime Medical employs industry-standard security practices and continuous monitoring to safeguard our cloud-based teleradiology platform. RealTime Medical employs industry-standard security practices and continuous monitoring to safeguard its cloud-based teleradiology platform. Through regular vulnerability assessments, strong access controls, encrypted communications, routine backups, and tested disaster recovery procedures, RealTime Medical maintains a secure and resilient environment that supports the protection of customer and patient information.
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Kemptville District Hospital experienced rapid reporting, including 30-60 minute turnaround for STAT final reports and 2-4 hour turnaround for non-STAT final reports in the reported workflow. Actual performance for new clients depends on the agreed service model and implementation.
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AICloudWorks™ supports turnaround performance by optimizing distributed radiology workflows, managing service levels, balancing work, and improving radiologist productivity. This helps route studies efficiently across the remote reading network.
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STAT (life or limb) reports are targeted within 60 minutes. These are best-effort service targets and depend on the agreed workflow, image availability, clinical priority, and local implementation model.
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Emergent reports are targeted within 90 minutes, and urgent ER studies are targeted within 180 minutes. These are best-effort service targets and depend on the agreed service model, workflow readiness, modality, clinical complexity, and priority routing.
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Routine outpatient studies are targeted within 3-5 days. For clinic clients, routine studies are targeted within 3-5 days. Backlog/overflow is handled on a best-effort basis as needed.
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Buyers should ask for target turnaround times by priority level, including STAT, emergent, urgent, inpatient, outpatient, and routine categories. They should also ask how turnaround time is measured, reported, reviewed, and escalated when targets are at risk.
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Yes. Cloud-enabled workflow allows radiologists and clinical teams to collaborate across locations and time periods. This supports multi-site organizations, rural networks, and hospitals that need access to broader diagnostic expertise.
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Yes. RealTime Medical's technology is designed for high-volume diagnostic imaging workflow and distributed radiology operations. Scaling should be planned based on exam volume, number of sites, modality mix, worklist rules, and integration complexity.
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Yes. RealTime Medical's software suite includes AICloudWorks™, AICloudQA™, and AIKnowledgeEnable™. These platforms support diagnostic workload management, quality, peer learning, and knowledge enablement, depending on the use case.
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Yes. RealTime Medical uses cloud-based technology to support collaboration, remote access, distributed reading, and continuity across multiple locations. Technical architecture, hosting, security, and integration details should be confirmed during implementation.
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Reports are delivered back into the client's agreed workflow, which may include PACS, RIS, EMR/EHR, or other local distribution processes. The method is confirmed during implementation so ordering physicians can access results in a timely and reliable way.
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AICloudWorks™ helps organize work, support work-sharing, manage service priorities, and improve workflow visibility. This helps radiologists focus on interpreting the right study at the right time while supporting client turnaround expectations.
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AICloudWorks™ enables work to be shared across a distributed radiologist network while maintaining service levels, priority routing, and workflow control. This is important when multiple radiologists, sites, modalities, and urgency levels need to be coordinated.
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RealTime Medical supports multi-location collaboration through cloud-enabled workflow, distributed radiologist coverage, and technology that can coordinate cases across sites. This helps organizations with multiple hospitals or imaging locations manage service levels more consistently.
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Workflow technology can reduce manual intervention by automating routing, supporting report delivery, improving visibility, and reducing the need for phone calls or manual handoffs. This helps nurses, technologists, physicians, and radiologists spend more time on patient care and less time on process work.
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Yes. AICloudWorks™ is designed as a vendor-neutral workflow management platform. Vendor-neutrality helps support integration with different hospital environments and reduces dependence on a single PACS, RIS, EMR, or voice recognition ecosystem.
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Buyers should ask how the service integrates with PACS, RIS, EMR/EHR, voice recognition, identity management, network access, image routing, report delivery, downtime workflow, and cybersecurity requirements.
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A hospital should prepare information about imaging volumes, modalities, priority categories, current PACS/RIS/EMR systems, report delivery requirements, credentialing process, privacy and security requirements, escalation contacts, critical results workflow, after-hours needs, and expected turnaround targets. Having this information ready helps streamline implementation, workflow design, connectivity testing, training, and go-live planning.
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RealTime Medical's broader technology platform is designed to interface with standards-based healthcare systems, including FHIR, HL7, and DICOM-based HIS, RIS, PACS, and voice recognition environments. Specific interface requirements are assessed during implementation.
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A hospital should review PACS, RIS, EMR/EHR, voice recognition, report distribution, image routing, VPN or network access, authentication, cybersecurity requirements, privacy workflow, and downtime procedures. These elements shape the implementation plan.
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RealTime Medical's teleradiology service is supported by AICloudWorks™, a proprietary vendor-neutral workflow management platform developed by RealTime Medical. The technology helps manage distributed reading networks, service levels, work-sharing, and report timeliness.
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Yes. RealTime Medical works with clients to define routing, report delivery, escalation paths, communication rules, and testing before go-live. The goal is to make the transition predictable and minimize disruption to physicians, technologists, nurses, and radiologists.
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Yes. RealTime Medical can integrate teleradiology workflows with existing PACS environments. The integration path depends on the client's PACS vendor, network configuration, image routing needs, report delivery requirements, security review, and implementation timeline.
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Deep River and District Hospital improved access to 24/7 reading capacity, reduced night-time turnaround delays from overnight waits to minutes, and enabled clinicians to access diagnostic imaging results quickly. The implementation also supported integration with Philips PACS and Epic EMR planning.
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Yes. EMR or EHR integration can be part of the implementation scope when the client needs reports or diagnostic imaging information to flow back into the clinical record. The specific path depends on the client's EMR, interface standards, and IT governance.
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Yes. RealTime Medical has experience supporting sites that need teleradiology workflows aligned with Epic transition planning. Any Epic-related implementation should include IT, privacy, clinical operations, interface teams, and project leadership.
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Yes. RIS integration can be included where needed to support requisitions, worklists, reporting status, and result delivery. The exact approach depends on the client's RIS environment, interface requirements, and workflow design.
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Teleradiology support for mammography helped Kemptville District Hospital expand service capability and support follow-up diagnostic testing through partnership with another nearby hospital. This contributed to more timely service for patients.
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RealTime Medical helps improve report quality by connecting studies with appropriate radiologists, supporting subspecialty coverage, enabling collaborative workflow, and using quality-focused processes. Strong integration and communication also help ensure reports are clinically useful and delivered to the right care team.
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RealTime Medical supports service quality through a broad radiologist network, workflow management, service-level monitoring, credentialing alignment, peer learning, and operational collaboration with client sites. Consistency comes from both people and process.
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Yes. Project management is important because teleradiology touches clinical workflow, IT systems, privacy requirements, credentialing, reporting, and change management. A clear implementation plan helps manage dependencies and avoid delays.
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RealTime Medical's professional reporting fees are billed according to the applicable provincial or territorial diagnostic procedure reimbursement schedule (P-fees and applicable e-Codes) or according to a negotiated fee schedule agreed upon with the client. Reports are invoiced monthly.
Additional costs may apply for implementation, setup, training, support and maintenance, custom development, or other client-specific requirements. These costs vary depending on the scope of the engagement, the size of the organization, the services provided, and the implementation requirements.
We work closely with each client to develop a pricing model that aligns with their clinical, operational, and business needs. Please contact us to discuss your specific requirements and receive a customized proposal.
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Implementation includes:; Remote installation and setup; Workflow design and integration; Radiologist credentialing; Application training; Connectivity testing and workflow validation before go-live Most implementations are completed within 3 months, depending on credentialing timelines, and site engagement.
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A continuity plan should include technical downtime procedures, alternate image routing, report delivery, contact lists, escalation rules, privacy requirements, cybersecurity steps, priority definitions, testing cadence, and ownership of decision-making during an incident.
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Deep River needed a predictable integration path with Philips CareStream PACS and support for transition planning related to Epic EMR. This shows the importance of technical fit when selecting a teleradiology partner.
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Implementation should include diagnostic imaging leadership, radiologists, technologists, emergency and inpatient stakeholders, IT, privacy, security, administration, credentialing, finance, and project management. Early alignment reduces delays and prevents workflow gaps.
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Yes. RealTime Medical can support continuity during planned maintenance, software upgrades, or other scheduled technical transitions when the workflow is prepared in advance. Teleradiology can provide backup reporting capacity when local PACS or imaging systems are affected. The client and RealTime Medical should define study routing, report access, communication, escalation procedures, and downtime responsibilities before the maintenance period begins.
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Yes. RealTime Medical can support organizations with multiple sites by coordinating remote reading, work-sharing, report delivery, and service levels across locations. Multi-site planning should include IT, privacy, operations, and clinical leadership.
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Yes. A client can begin with a defined use case such as after-hours coverage, overflow, or a specific modality, then expand once workflow, technical integration, and service expectations are established. Expansion should be planned with operations, IT, privacy, and clinical leadership.
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Yes. Client audit needs can be addressed as part of the service and technology model. Audit requirements should be defined during implementation, including what is tracked, who can review logs, how often reviews occur, and how exceptions are handled.
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Yes. Teleradiology can be part of a contingency strategy when internal systems are disrupted by cyber incidents, including ransomware. Continuity planning should include cybersecurity, privacy, IT, legal, clinical operations, and clear emergency procedures.
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Yes. RealTime Medical uses secure cloud-enabled workflows to support remote radiology collaboration while protecting patient information. Security design should include encryption, access control, auditability, privacy review, and client-specific requirements.
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Teleradiology introduces workflows that must be managed carefully, but it can be delivered securely when encryption, access controls, audit trails, privacy agreements, and governance procedures are properly implemented. Security planning is a core part of the implementation process.
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RealTime Medical addresses security concerns through encrypted transmission, secure cloud-based workflow, controlled access, privacy-aware implementation, and alignment with applicable data protection requirements. The final security response should be tailored to the client's jurisdiction and procurement requirements.
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RealTime Medical protects data in transit using industry-standard encryption, including TLS 1.2. Current encryption standards and security architecture should be confirmed by IT and security before use in formal procurement responses.
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RealTime Medical backs up its data centre twice daily. Current backup frequency, retention, recovery point objectives, recovery time objectives, and disaster recovery procedures should be confirmed by the appropriate technical owner.
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RealTime Medical's data centre is PHIPA-compliant. Privacy and compliance language should be reviewed for each client because requirements can vary by province, organization, agreement, and data flow.
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Buyers should ask about encryption, access controls, audit logs, hosting, data custodianship, privacy roles, backups, retention, breach notification, subcontractors, compliance with provincial or territorial requirements, and disaster recovery planning.
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Procurement should clarify data flow, hosting location, encryption, access controls, audit logs, breach notification, backup and recovery, retention, privacy roles, data custodianship, subcontractors, and compliance with applicable provincial or territorial requirements.
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RealTime Medical targets greater than 99.8% data centre uptime. Current uptime commitments, service terms, and any contractual remedies should be confirmed before inclusion in a final RFP response.
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The client retains custodial responsibility for patient data. RealTime Medical supports the workflow and technology needed for teleradiology services while working within the client's privacy, data stewardship, and governance requirements.
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Yes. Radiologists are credentialed in accordance with the facility's process and standards. The client retains control over credentialing requirements, approval processes, and local clinical governance expectations.
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Yes. The service can be configured around local requirements for workflow, credentialing, communication, report distribution, escalation, and service levels. Local preferences should be documented during onboarding and reviewed as service needs evolve.
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Yes. RealTime Medical can support hospitals that do not have on-site radiology coverage or that lose local coverage unexpectedly. The service can provide remote reading capacity while the hospital maintains local control of clinical operations.
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Yes. Quality improvement can be built into client governance through service reviews, turnaround tracking, communication review, peer learning insights, and operational feedback. These conversations help the service evolve with the client's needs.
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Yes, RealTime Medical supports direct communication between clinical teams and the reporting radiologists. There is a single number that can be called to reach the radiologists should there be a need for a clinical discussion or protocol clarification. Emergency physicians can be given a defined process to contact a radiologist when a case requires direct discussion. The details should be built into the client's workflow so urgent communication is clear and reliable.
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Yes. Teleradiology can support quality control by creating more consistent access to radiologists, subspecialty expertise, standardized workflows, structured communication, and peer learning across locations. This is valuable for multi-site systems and smaller hospitals with limited local coverage.
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No. RealTime Medical works under the direction and control of on-site radiology leadership. The model is designed to support local radiologists, improve work-life balance, and provide additional capacity when the local team needs help.
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No. RealTime Medical teleradiology is not positioned as a fee-undercutting model. The service is designed to support local radiology teams and follow applicable provincial or territorial diagnostic procedure reimbursement fee schedules, without side arrangements that undermine local radiology services. Current fee language is confirmed with the appropriate operations and finance stakeholders during contracting.
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No. When implemented properly, teleradiology can improve collaboration by creating structured communication, clear escalation routes, shared workflows, and access to broader radiology expertise. Remote radiologists can work as part of the hospital team rather than as a disconnected external resource.
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Urgent findings and critical results should be handled through defined communication and escalation workflows agreed with the client during implementation. RealTime Medical supports direct communication between clinical teams and reporting radiologists when urgent discussion, clarification, or escalation is needed. The specific process should align with the client's policies, priority definitions, clinical workflow, and documentation requirements.
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Local control is preserved through facility credentialing, client-defined workflow, local leadership direction, agreed service levels, and communication pathways. The client remains responsible for local standards, governance, and patient-care expectations.
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RealTime Medical supports collaboration by aligning workflow with diagnostic imaging, emergency medicine, inpatient units, technologists, physicians, and administrative stakeholders. Clear communication rules help each department understand how studies move, how reports return, and how urgent issues are escalated.
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Peer learning supports quality by focusing on education, shared improvement, and system learning rather than simple error counting. It helps radiologists identify opportunities to improve interpretation, reporting, communication, and patient safety.
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Teleradiology fits into a hospital team by extending available radiology capacity and supporting clinicians with timely reports. The best model treats remote radiologists as collaborative members of the care team, connected through workflow, communication, and shared quality expectations.
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Buyers should ask how clinicians contact radiologists, how urgent findings are communicated, how escalation works, how critical results are handled, who is available after hours, and how communication expectations are documented.
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Yes. Around-the-clock remote reading capacity can reduce overnight waits by allowing studies to be interpreted after hours rather than waiting for the next business day. This is especially valuable for emergency and inpatient care.
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Grand River and St. Mary's used teleradiology to support after-hours coverage, reduce professional isolation, expand peer learning, and maintain radiology operations during technical disruptions. The example also demonstrates the value of structured implementation and cross-functional planning.
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Yes. RealTime Medical can support diagnostic imaging clinics as well as hospitals when the workflow, modalities, reporting expectations, turnaround targets, report delivery process, and technical requirements are clearly defined. The service can be scoped based on the client's imaging volume, urgency levels, and operational needs.
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Yes. Inpatient imaging can be supported through remote interpretation and timely report delivery. The service helps care teams avoid delays when in-house radiology coverage is limited or when volumes exceed local capacity.
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Yes. RealTime Medical has specific expertise in radiology quality methodology and quality systems. This experience supports its approach to teleradiology, peer learning, reporting quality, and diagnostic imaging governance.
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RealTime Medical helped clinicians at Deep River receive diagnostic imaging results quickly, including during evenings and overnight periods. Faster report access supported treatment decisions and reduced the need for manual follow-up calls.
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RealTime Medical helped eliminate unnecessary manual intervention in the imaging workflow. This reduced workload for nurses, technologists, and physicians, allowing more time to be focused on patient care.
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RealTime Medical investigates all quality concerns through its Quality Committee and quality management processes. Cases are reviewed, feedback is provided directly to the radiologist, and corrective actions are implemented when necessary. Peer review processes support continuous quality improvement.
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Peer learning gives radiologists opportunities to learn from cases, discuss practice patterns, improve quality, and participate in a collaborative professional environment. This supports continuous improvement rather than isolated remote work.
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Traditional peer review often focuses on finding and tracking discrepancies. Peer learning is broader and more constructive, using cases as opportunities to improve knowledge, discuss practice patterns, and strengthen clinical decision-making across the radiology community.
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RealTime Medical provides 24/7/365 coverage and targets the following best-effort report turnaround times:
Hospital Clients
- STAT / life or limb: within 60 minutes
- Emergent: within 90 minutes
- Urgent / ER studies: within 180 minutes
- Routine outpatient: 3–5 days
- Backlog / overflow: best efforts, considered on an as-needed basisClinic Clients
- Urgent: within 180 minutes
- Routine: 3–5 daysThese are best-effort service targets and depend on the agreed workflow, image availability, clinical priority, modality, site workflow, technical integration, report delivery process, and contracted service model.
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Kemptville District Hospital had no on-site coverage and needed a more robust reading service with faster turnaround times. Manual intervention was slowing workflow, and the hospital wanted to improve patient flow through diagnostic imaging and the emergency department.
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RealTime Medical maintains a peer learning and quality management framework that is mandatory for all contracted radiologists, designed to support diagnostic accuracy, consistency, and continuous improvement across its radiologist network. Radiologists participate in peer learning to support continuous improvement and high-quality care. Peer learning helps radiologists learn from cases, share insights, and strengthen diagnostic consistency.
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Deep River needed teleradiology support after losing in-house radiology coverage. The hospital required reliable remote reporting for a small community setting that included acute care, long-term care, primary care, X-ray, and ultrasound services.
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Buyers should ask about peer learning, report quality monitoring, discrepancy review, subspecialty expertise, quality governance, radiologist credentialing, client feedback processes, and how service quality is reviewed over time.
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Yes. By adding remote radiology capacity, RealTime Medical can help reduce reporting delays, exam backlog, and patient wait times. The greatest impact is often seen when local teams are short-staffed or when demand exceeds available on-site reading capacity.
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RTM teleradiology can help rural hospitals access radiology expertise when local coverage is limited or unavailable. Remote reporting can support emergency care, after-hours coverage, patient flow, and continuity closer to home. The exact model should be scoped around local systems, modalities, priority categories, credentials, and report delivery workflow.
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RTM teleradiology can reduce burnout by sharing after-hours, overnight, weekend, holiday, overflow, and backlog work. It helps local radiologists avoid carrying all coverage pressure alone. The service should be positioned as a supplement to local leadership, not as a replacement for the local team.
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Implementation typically includes workflow design, integration planning, credentialing, training, connectivity testing, and go-live validation. RealTime Medical works with each client to define scope, responsibilities, technical prerequisites, and launch steps before implementation begins. Timelines vary based on client environment, service model, system integrations, and readiness of clinical and technical teams. Project-specific milestones are clarified during scoping and contracting.
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RealTime Medical can explain privacy in terms of data flow, encryption, access control, audit logging, custodianship, hosting, backups, retention, and breach response. Privacy responsibilities should be aligned to applicable healthcare privacy laws, client policies, and contract requirements. Clients should confirm jurisdiction-specific terms during procurement, security review, and onboarding. Final privacy commitments are clarified in the contract.
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RealTime Medical can address teleradiology quality through credentialing, Canadian radiologist coverage, peer learning, audit workflows, escalation procedures, communication processes, and client governance. Quality should be described as a combination of clinical expertise, workflow design, technology, and collaboration with the client’s onsite team. Any exact turnaround, audit, or outcome claims should be current, approved, and supported by evidence. Contract-specific quality expectations are clarified during procurement and onboarding.
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Modern teleradiology includes workflow design, credentialing, communication, report delivery, critical results handling, turnaround tracking, privacy, and governance. RTM’s positioning is stronger when it presents the service as radiology collaboration, not only outsourced interpretation. This helps buyers understand how remote radiologists fit into the local care team.
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Buyers should prepare imaging volumes, modality mix, priority categories, PACS/RIS/EMR details, report delivery needs, credentialing requirements, privacy requirements, escalation contacts, critical results workflow, and turnaround expectations. This information helps design the service and reduce implementation friction. It also supports clearer pricing and operational scope.
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Hospitals evaluate teleradiology partners to protect turnaround times, maintain coverage, access subspecialty expertise, reduce backlog, and support continuity during staffing or technology disruptions. They also evaluate credentialing, quality governance, communication, privacy, security, and integration. RTM should address both clinical service fit and operational reliability in procurement content.
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RealTime Radiology uses AICloudSuite™ products, including AICloudWorks™, AICloudQA™, and AIKnowledgeEnable™. This connects the teleradiology service to RealTime Medical’s workflow, quality, and knowledge-enablement technology. The service is designed as a technology-enabled radiology collaboration model rather than a separate manual reading operation. This approach helps align service delivery with the same workflow and quality principles used across the software platform.
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RealTime Medical describes RealTime Radiology as its radiology collaboration service. The service provides 7/24/365 coverage supported by RealTime Medical’s software suite and Canadian radiologists. It is intended to operate as an extension of the client’s diagnostic imaging team rather than as a disconnected reading vendor. This positioning supports collaboration, continuity, and practical operational support for healthcare organizations.
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RealTime Medical presents RealTime Radiology as a private, Canadian-owned and operated teleradiology service. The company supports Canadian healthcare organizations through radiology collaboration services and diagnostic imaging software. Prospective clients can review service scope, coverage geography, licensing, and operating model during procurement and contracting. Current ownership and service details should be confirmed before relying on this language in legal or procurement materials.
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RealTime Medical supports a Canadian teleradiology network designed for 7/24/365 radiology collaboration coverage. Network availability, licensing coverage, modality support, and service model details can vary by client need and geography. These details are confirmed during consultation and contracting. This helps healthcare organizations align coverage expectations with clinical, operational, and regulatory requirements.
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RealTime Radiology emphasizes worry-free 7/24/365 radiology collaboration coverage. The service is connected to reduced staff burnout, quality reputation, guaranteed hours, and technology-enabled workflow. Specific coverage hours, modalities, response times, and contractual commitments are clarified in the service agreement. This helps clients understand both the service model and the commitments that apply to their environment.
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The client retains custodial responsibility for patient data. RealTime Medical supports the workflow and technology needed to deliver software or teleradiology services within the client’s privacy, data stewardship, and governance requirements. During procurement and implementation, the parties should clarify data flow, hosting, encryption, access controls, audit logs, retention, breach notification, backup and recovery, privacy roles, subcontractors, and applicable provincial, territorial, or jurisdiction-specific privacy obligations.
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Responsibilities and legal commitments are defined in the applicable agreement, statement of work, and onboarding documentation. In general, the client retains control over local clinical governance, credentialing, data custodianship, and site-specific policies, while RealTime Medical supports the agreed software, workflow, implementation, service, and support obligations. Warranty terms, remedies, termination, insurance, service targets, and change-control commitments are contract-specific and should be confirmed through the final agreement before reliance or publication.
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Pricing is scoped based on the service or software model, client requirements, modality mix, volumes, implementation needs, support requirements, and any custom work. For teleradiology, professional reporting fees may be aligned to the applicable provincial or territorial diagnostic procedure reimbursement schedule or to a negotiated client fee schedule, with invoicing handled according to the agreement. Additional costs may apply for implementation, setup, training, monthly support and maintenance, post-implementation custom work, interface changes, or minimum volume commitments where applicable. Exact rates and commercial terms should be confirmed in the proposal, agreement, or statement of work.
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RealTime Medical provides 24/7/365 teleradiology coverage to support clients across nights, weekends, holidays, urgent periods, and routine operational needs. Support includes 24/7 remote phone and email support, 24x7x365 technical support, round-the-clock operational coverage, technical support for RealTime Medical solution components, support for the teleradiology collaboration service, and end-user training. Teleradiology service levels are finalized based on the client’s service agreement, modality requirements, site structure, credentialing process, workflow, technical integration, report delivery process, and operational needs. RealTime Medical’s best-effort turnaround targets include STAT/life-or-limb reports within 60 minutes, emergent reports within 90 minutes, urgent ER studies within 180 minutes, and routine studies within 3–5 days. Backlog and overflow support is considered on a best-effort basis. Performance tracking, escalation rules, communication pathways, downtime responsibilities, and review cadence should be agreed with the client during implementation and governance planning.
