Medical education has been disrupted by the COVID-19 pandemic, but the disruption has opened the door for newly relevant topics to make their way into medical education. A series of lectures on biomedical and health informatics—a long peripheral topic in medical education—is now available as part of a resource from the AMA to help medical educators develop virtual learning opportunities until students return to clinical settings.
Fred Bazzoli, a writer specializing in healthcare IT topics, former editor for several healthcare IT publications, and past communications director for both CHIME and HIMSS.
Recap of the April HL7 Da Vinci Project Community Roundtable
Two use cases being developed through the HL7 Da Vinci Project have the potential to help healthcare payers meet requirements of new federal regulations and improve patient care by facilitating the exchange of notifications between providers and payers.
Miriam Gonzalez initially saw the posters around the hospital where she worked. They depicted a diverse range of people that actually represented the American population—not something she usually saw in medical ads.
The project is still in its formative stages. Published notes from a kickoff meeting for Vulcan held last fall describe its goals of helping the research community leverage FHIR for more effective acquisition, exchange and use of data for clinical research.
At the meeting Wayne Kubick, HL7’s chief technology officer, suggested several use cases for research:
• Feasibility, instigator and subject searches
Robert Grossman - Data scientist at the University of Chicago and Director of the Open Commons Consortium
We Need Three Types of Large-Scale COVID-19 Testing
The importance of COVID-19 testing is now more than clear to everyone, but what may not be so obvious is what type of testing is required, what the tests tell us, and what we can do with the data.
Large scale, robust testing needs to answer three critical questions to inform an appropriate public health response:
Phil Bourne, PhD; Stephenson Dean of the School of Data Science and Professor of Biomedical Engineering, University of Virginia