RealTime Medical’s Spotlights
Check out some of our latest resources, customer opinions and expert insights.
How to make peer learning meaningful?
How to make peer learning meaningful in a safe environment? - Dr. Karen Finlay, Hamilton Health Sciences Learn about how Dr. Karen Finlay and the team at Hamilton Health Sciences are implementing peer review to create a better-shared learning experience for radiologists to improve quality and deliver improved patient care. Watch the full interview here: https://youtu.be/z84KNSCoTTE Our website: www.realtimemedical.com
July 28, 2022
How can we improve efficiency and accountability in our practice?
How can we improve efficiency and accountability in our practice? Listen to our interview with Dr. Colin Taylor https://youtu.be/YIetGhwYblk Watch the full interview here. Visit our website.
June 07, 2022
How can I possibly work more effectively?
How can I possibly work more effectively? Watch our interview with Dr. Darren Knibutatat at Grand River & St. Mary’s General Hospital https://youtu.be/bXNqeIUuWNg Watch the full interview here. Our website: www.realtimemedical.com
May 26, 2022
Join RealTime Medical at SIIM 2022!
Join RealTime Medical at Society for Imaging Informatics in Medicine (SIIM) Virtual Annual Meeting, where we will be announcing our latest advancements in how we empower radiologists to work more efficiently, improve quality and deliver better patient care. RTM operates one of Canada’s largest teleradiology networks covering over 30 hospital sites. This network is powered by the RealTime Medical AICloudSuite solution offering, delivering AI-enabled diagnostic workload balancing and first of a kind, multi-dimensional peer learning experience. The platform’s standards-based messaging enables ease of compatibility with existing HIS/RIS/PACS systems. RTM's co-founder, Dr. David Koff is a chair of SIIM’s session on advanced peer learning techniques and solutions. Visit our virtual booth via GRIP June 9-11. Access to the platform is already available! For more information about the event and to register, visit the official SIIM event website. Book your consultation today: https://realtimemedical.com/contact/
May 24, 2022
How can we maximize our reading capacity as a group, while also driving more value from our PACS?
How can we maximize our reading capacity as a group, while also driving more value from our PACS? Watch our interview with Dr. Karen Finlay, Chief of Diagnostic Imaging, at Hamilton Health Sciences here. Watch the full interview here. Our website: www.realtimemedical.com
May 18, 2022
Is teleradiology right for me?
Is teleradiology right for you? Watch our interview with Dr. Colin Taylor here to learn more RealTime Medical works as an extension of your team. Learn about how Dr. Colin Taylor, Radiologist at RealTime Medical, is implementing Teleradiology services to help manage a demanding workload, hold the line on costs and deliver improved patient care. Watch the full interview here. Our website: www.realtimemedical.com
May 17, 2022
IMPROVING PATIENT CARE, ONE COMMUNITY AT THE TIME
The Deep River and District Hospital shared updates in the November 2021 Newsletter The Zinger. RealTime Medical’s platform now supports their radiology department. “On Tuesday, November 9, 2021, the organization transitioned our Diagnostic Imaging Radiology services to a third-party service provider, RealTime Medical (RTM) to support our X-ray and Ultrasound reading. Thank you to everyone who helped make the transition go smoothly. The turnaround time for reports has significantly improved from previous services. At times, patients are still in the Emergency Department when reports are received, which is a significant improvement and benefit to patient care! RTM provides 24-hours a day/ 7 days a week remote Radiology coverage, and a Radiologist is available 24/7. Posters with contact information for RTM have been posted on the Medical and Emergency Department nursing stations, as well as in the Physician room on medical.” Link to the original source.
May 10, 2022
INNOVATORS BRING AI INTO IMAGING SKILLS DEVELOPMENT
Originally from CHT Magazine By Jerry Zeidenberg October 30, 2019 Two Ontario hospital organizations – encompassing six sites – will soon deploy artificial intelligence to help with continuous learning and peer review in their imaging departments. By automatically detecting the types of cases being read by radiologists at St. Joseph’s Healthcare Hamilton and Hamilton Health Sciences, the system will deliver the latest journal findings, as well as personal pattern recognition and error avoidance, direct to their desktops. While radiologists at all Canadian hospitals are experts in their field, with years of education and experience, our understanding of diseases and illnesses is rapidly expanding and new insights are constantly appearing. To ensure that they’re aware of the latest research and best practices, many radiologists conduct journal and web searches while they’re reading cases at the hospital, or at night, from home. “Our radiologists and physicians spend a lot of time reading and searching for literature,” said Shairoz Kherani, who until recently was Director of Diagnostic Services at HHS. (She has since moved to Halton Health Care, in nearby Oakville, Ont., where she is Director of Diagnostic Services and Laboratory.) “Finding the right information can be a daunting process. Now it will be readily available.” “There are hundreds of new findings every day,” said Ian Maynard, CEO of RealTime Medical, of Mississauga, Ont., the company that’s providing the AI-powered solution, called AICloudQA™. “Radiologists can spend two or more hours a day searching independent medical data sources,” said Maynard. “Our solution saves radiologists a significant amount of time and effort by searching multiple data sources simultaneously, relative to the case at hand. We’re like a Google search on steroids for relevant medical data, helping radiologists apply the latest findings to their patient care”. Indeed, RealTime Medical is collaborating with Google Cloud and Sightline Innovation to deliver its AI-fueled solutions. The project is also supported by the National Research Council of Canada’s Industrial Research Assistance Program (NRC IRAP), resulting in a collaboration between these organizations and the hospitals using the solution. Not only does the automated searching save time and contribute to better medical outcomes for patients, but it helps reduce radiologist “burnout”, a serious issue today as radiologists feel overloaded by the demands placed on them, Maynard said. St. Joseph’s Healthcare Hamilton and Hamilton Health Sciences will introduce AICloudQA for peer learning and skills development across their sites by the end of this year. The hospitals will probably start with one site, or one physician group across all sites, and then steadily roll out the solution. The context-sensitive provision of journal articles and other sources of medical information is expected to be of great help to the radiologists, nuclear medicine physicians, cardiologists and other clinicians who use the system. There are 70 to 80 radiologists and medical imaging experts at Hamilton Health Sciences and St. Joseph’s Healthcare Hamilton who will be the prime users of AICloudQA. RealTime Medical’s Ian Maynard said the importance of timely and accurate information cannot be underestimated. As they’re reading cases, radiologists want the latest literature and personal pattern recognition notifications of what to be on the lookout for. “What they don’t want our patients and their families coming back to them later, asking why they didn’t know about the latest finding from Cleveland Clinic for example,” said Maynard. Dr. Karen Finlay, radiologist and Interim Chief of Radiology at Hamilton Health Sciences, agreed that radiologists are currently taking “a lot of time for research”. “If a radiologist steps off a case for five to 10 minutes to go to Google Scholar, that can really add up over the course of a day,” she said. Additionally, for those familiar with the impact of interruptions on the efficiency of the diagnostic process, that time impact can be significantly magnified to the detriment of diagnostic efficiency, which collectively impacts system-wide efficiency. The feed from AICloudQA, by contrast, is instantaneous, meaning the radiologist doesn’t have to stop what they are doing. Notably, the RealTime Medical system also uses AI to scan the readings done by radiologists, and to provide feedback on areas where they might want to focus on or look more closely in future. “It’s like the blind-spot warning system in your car, only it’s anonymously helping you avoid possible gaps in your own reading patterns,” said Maynard. “This is very valuable,” said Kherani. “The system can do intelligent sampling and note where a radiologist may want to improve. It can even spot patterns, time of day and other conditions when they may be more vulnerable.” Dr. Finlay observed that AICloudQA will also transform the process of peer learning at Hamilton Health Sciences and St. Joseph’s Healthcare Hamilton. It will do this, in one way, by increasing the pool of radiologists participating. One of the limitations of current peer review methods is that there’s often a limited number of potential reviewers, especially when a sub-specialty is involved – such as breast or neuro-imaging. RealTime Medical’s cloud-based solution offers the potential to connect with other hospitals across the province and the country, creating a critical mass of peers with a cross-section of experiences in each sub-speciality. This will enable a level of peer learning and best practice sharing that’s simply not possible with site-based systems. Increasing the number of radiologists in the peer learning pool also helps with the issue of anonymity. With site-based solutions, it’s sometimes possible to guess the identity of the radiologist or clinician being assisted, as physicians are often familiar with the reporting styles of their peers. Like all physicians – and people in general – radiologists don’t like to be judged. By making the system more anonymous, the Real Time Medical system makes peer learning more objective, valid and hence palatable for participants. This part of what is being called a “just culture” approach, that physicians are calling for in such solutions. AICloudQA embraces the “just culture” principles that physicians want and deserve. It is not punitive, and the information is not shared. Instead, it’s sent privately to the participating radiologist or clinicians, who can use it for self-improvement. At Hamilton Health Sciences and St. Joseph’s Healthcare Hamilton, the peer-reviewing will be prospective – that is, it’s done before the results are reported to the referring physician. Of course, there are only so many cases that can be reviewed before the process becomes counter-productive. The need for continuous learning must be balanced with the extra burden that’s placed on reviewers. “The trick is to make it a rich and rewarding learning experience, but not burdensome,” said Dr. Finlay. Hamilton Health Sciences and St. Joseph’s Healthcare Hamilton currently aim to review 2 percent of the cases, which is in keeping with other Canadian programs. Kherani noted there are other potential benefits to the AICloudQA platform. It has a workload balancing function, where it uses its intelligence to feed cases to the appropriate radiologist – based on availability and expertise. That not only offers the organization advantages with workflow and wait times, but it also benefits patients, as they obtain the most expert radiologist available. She said the system can eventually support different types of physicians involved in imaging, such as cardiologists, and not only radiologists. “It’s a multi-ology solution.” Dr. Finlay noted the system also supports critical results reporting – so that urgent findings are quickly sent to referring doctors. It can also be tweaked to include notification of unexpected findings – flagging colleagues about problems that were unanticipated, but should be addressed.
May 05, 2022
VANCOUVER IMAGING TO IMPLEMENT REALTIME MEDICAL AI
ORIGINALLY PUBLISHED IN CHT MAGAZINE VANCOUVER – Vancouver Imaging, a group of over 70 radiologists, has signed on to use RealTime Medical’s smart workload-balancing, physician skills development and error-avoidance platform. Vancouver Imaging, which provides reading services for hospital and out-of-hospital imaging centres, will implement the system in the first half of 2020 at its non-hospital clinics. Vancouver Imaging offers a wide variety of sub-specialty readings across all disciplines, including specialized expertise in emergency trauma radiology. The organization is the only group of radiologists in Canada offering around-the-clock, on-site, sub-specialty emergency reading services. “Emergency radiology is itself a sub-specialty and requires a unique set of skills,” said Dr. Savvas Nicolaou (pictured), the CEO of Vancouver Imaging and director of Emergency & Trauma Imaging at Vancouver General Hospital. “It’s unpredictable, with frequent interruptions. You often have to work with a limited amount of information from clinicians, and it can include everything from head-to-toe, including mass casualty situations that require proactive decision-making.” He added, “You’re always on, and never off.” The Emergency & Trauma sub-specialty requires “appropriate, patient-centered judgement in a matter of seconds.” Vancouver Imaging will deploy RealTime Medical’s AICloudWorks and AICloudQA platforms within their clinics. Collectively, the offerings encompass several AI applications, including high throughput workload balancing. RealTime Medical holds the U.S. and Canadian patents for its workload balancing algorithms and is one of only two patent holders for diagnostic workload balancing, along with the U.S. company, Virtual Radiologic. The cases are assigned to the appropriate radiologists based on sub-specialty, current workload and other parameters, creating an intelligent, diagnostic operations platform that is “context-aware,” a term originally coined by RealTime Medical to describe the capabilities of the platform. For example, radiologists with expertise in neurology will be the first to receive neuro cases, while thoracic or pediatric experts will be the first to receive cases of that type. The system also “balances” the work, to ensure that radiologists are receiving equal caseloads, subject to the case-specific service levels and business parameters established by the group. “The AI additions to this proven platform make it even more advantageous for us as a group as we pursue the delivery of Emergency Radiology services globally,” said Dr. Nicolaou, a world-renowned expert in Emergency & Trauma radiology, often referred to as the Founder and Pioneer of Emergency/Trauma Radiology in Canada. Dr. Nicolaou noted that AICloudWorks is vendor-neutral and can work with any HL7 and DICOM-based HIS, RIS and PACS solutions. “PACS integration can be very problematic,” said Dr. Nicolaou. “Being vendor-neutral is important to our flexibility as a group.” Vendor neutrality is important to Vancouver Imaging as their current environment includes workflows across multiple PACS solutions. Download CHT Reprint of Full Article
May 04, 2022
What Customers are Saying?
Hamilton Health Sciences
Hamilton Health Sciences
with our hospital structure.
Grand River & St. Mary’s General Hospital
Hamilton Health Sciences
Hamilton Health Sciences