electronic health records (EHRs)

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AI shows promise for clinical phenotyping

Researchers at Vanderbilt University Medical Center have demonstrated the potential for large language models like ChatGPT to help generate electronic health record phenotyping algorithms, a critical but time-consuming task in observational health research.

Vanderbilt Home Care provides a variety of home care services including nursing, physical therapy, occupational therapy, speech therapy, medical social work and round-the-clock private duty services. (photo by Daniel DuBois)

Vanderbilt Home Care joins VUMC in adopting health record software from Epic Systems Corp.

This year Vanderbilt Home Care switched to the same electronic health record system used by VUMC, enabling providers to have a more complete view of their patients’ care at home.

Bariatric surgery linked to cardiometabolic health improvements: study

Bariatric surgery can lead to significant cardiometabolic health improvements using a variety of measures, including blood pressure, cholesterol, glucose and hemoglobin A1C, according to a new study published in the Journal of the Endocrine Society.  

AI aids efforts to cut nuisance alerts for health care teams: study

A new study from Vanderbilt University Medical Center demonstrates the promise of artificial intelligence to help refine and target the myriad computerized alerts intended to assist doctors and other team members in day-to-day clinical decision-making.

Liver disease specialist Ashley Spann receives two career development awards

Vanderbilt’s Ashley Spann, MD, MSACI, is the inaugural recipient of the Harold Amos Medical Faculty Development Program Hepatology Award from the American Association for the Study of Liver Diseases.

New algorithms show promise for predicting bipolar disorder risk

In a new study across three major U.S. health care systems, researchers developed and tested algorithms to predict who will develop bipolar disorder.

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