electronic health records (EHRs) Archive — Page 3 of 12

February 8, 2024

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.

January 10, 2024

Stanford, Essentia Health join VUMC-based clinical research network

The STAR Clinical Research Network, based at Vanderbilt University Medical Center (VUMC), has added two new partners — Essentia Health, a Minnesota-based rural health care system, and Stanford University School of Medicine, one of the country’s leading academic medical centers.

January 2, 2024

Team uses COVID-19 to test automated acute disease profiling

An automated solution for creating phenotyping algorithms, PheNorm, worked well to identify symptomatic COVID-19 cases in electronic health records, suggesting that automation could speed high-throughput phenotyping of acute disease.

November 17, 2023

Study validates use of VUMC suicide risk model in Navy primary care

A Vanderbilt study found that automated suicide risk prediction models operating on electronic health records could help clinical teams efficiently identify patients for face-to-face suicide risk screening and prevention.

October 31, 2023

Polygenic ‘scores’ may improve cancer screening

Accounting for genetic variability in biomarkers not associated with cancer risk could avoid unnecessary diagnostic procedures, Vanderbilt researchers found.

October 20, 2023

Bryan Shepherd’s research to validate EHR data receives MERIT Award from the NIH

Vanderbilt’s Bryan Shepherd, PhDhas received a MERIT Award, or Method to Extend Research in Time Award, from the National Institute of Allergy and Infectious Diseases.