Tech & Health

AI predicts blood clot risk in hospitalized children: VUMC study

An artificial intelligence tool developed at Vanderbilt accurately identified pediatric patients at high risk for blood clots in a clinical trial, with no difference in outcomes compared to a control group.

The study team from VUMC included, from left, Xinmeng Zhang, You Chen, PhD, Bradley Malin, PhD, and Chao Yan, PhD. On the computers are Northwestern Medicine colleagues Abel Kho, MD, and Yuyang Yang. (photo by Donn Jones)

Study tracks clinical team engagement with health records by patient race/ethnicity

A review of electronic health record user access logs found that EHRs of adult inpatients from minority racial and ethnic populations on average received lower engagement from health care teams than the records of white adult inpatients.

Stenner and Webber lead collaborative team to win AMA Precision Education Innovation Grant

Shane Stenner, MD, MS, and Chase Webber, DO, and a collaborative team of experts at Vanderbilt University School of Medicine (VUSM) and Vanderbilt University Medical Center were recently named to receive the American Medical Association’s ChangeMedEd Innovation grant. 

The anniversary celebrations included the unveiling of a portrait of Frank Harrell, phD, second from left, here with Jennifer Pietenpol, PhD, Gordon Bernard, MD, and Yu Shyr, PhD. (photo by Susan Urmy)

VUMC’s Department of Biostatistics marks 20 years

Vanderbilt University Medical Center’s Department of Biostatistics recently marked its 20th anniversary with a half-day symposium and research poster session.

Vanderbilt’s Ken Holroyd, MD, MBA, lead of the Brock Family Center for Applied Innovation, speaks during the recent Healthcare Artificial Intelligence Sessions. (photo by Erin O. Smith)

Academics, entrepreneurs gather for first annual AI event

Artificial intelligence experts from industry and from Vanderbilt gathered on the VUMC campus recently for the first annual Healthcare Artificial Intelligence Sessions, or HAIS 23, sponsored by the Brock Family Center.

Predicting postop opioid use

VUMC study finds that preoperative patient characteristics can predict daily opioid use at six months after surgery, suggesting opportunities for development of electronic risk-stratification algorithms.

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