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For the second year in a row, the Department of Emergency Medicine (DEM) at the Yale School of Medicine ranked first in the nation in research dollars awarded by the National Institutes of Health (NIH), as tabulated by the Blue Ridge Institute for Medical Research.

Yale researchers’ machine learning model identifies contributors to physician departure, which could help improve job satisfaction and stem costly turnover.

In a pair of new studies, Yale researchers document a widespread and increasing level of overcrowding in America’s emergency departments (EDs), a crisis that puts patient safety and access to care at risk.

Faculty in the Section of Cardiovascular Medicine have launched their research careers with funding from the National Institutes of Health, American College of Cardiology, and other professional institutions.

The study found that in the EDs where EMBED was available, significantly more physicians initiated buprenorphine treatment than in those EDs without the tool. Further, while not every physician used EMBED even when it was available to them, when the tool was used it was associated with high rates of treatment initiation.

The tools do not yet improve patient outcomes, and doctors often ignore their suggestions.

Physician turnover is disruptive and costly. It affects patients’ continuity of care, strains healthcare organizations, and can take a toll on physicians and their families. By some estimates, each departure can also cost a healthcare facility up to $1 million.