Department of Biomedical Informatics Archive — Page 13 of 26

Studies by Andrew Glazer, PhD, Giovanni Davogustto, MD, and colleagues found that genetic testing with information from electronic health records can reveal undiagnosed heart rhythm disorders.
April 28, 2022

Studies combine genetic testing, electronic health records to find undiagnosed diseases

Combining genetic testing with information from electronic health records revealed undiagnosed heart rhythm disorders and new conditions associated with inherited cancer gene mutations.

April 21, 2022

When science spills onto social media

Vanderbilt researchers report that social media posts can offer insights into how the public feels about genome editing, with stances varying across platforms and differing from those of academics and policy makers.

An initiative at VUMC is helping to reduce automated alerts that are often triggered in the electronic health record.
March 24, 2022

VUMC Clickbusters program helps reduce EHR alerts

Vanderbilt’s Clickbusters program is helping to stem alert fatigue associated with the Medical Center’s clinical IT system.

March 17, 2022

U.S. precision medicine research program releases genomic data

The All of Us Research Program released an initial large batch of genomic data on its cloud-based research platform, the Researcher Workbench, including whole genome sequences of 98,600 research participants and genotype data from 165,200 participants.

Kelli Stewart, center, discusses her ideas during last week’s Mental Health Innovation Challenge and Hackathon.
March 3, 2022

Chatbot takes first prize in Mental Health Innovation challenge

A chatbot — a computer program that simulates and processes human conversation — was the winning entrant in Vanderbilt’s recent Mental Health Innovation Challenge and Hackathon.

Travis Osterman, DO, MS, is working to establish common data standards for oncology clinicians and researchers.
February 3, 2022

Osterman plays key role in major oncology EHR initiative

Vanderbilt’s Travis Osterman, DO, MS, is leading an integral component of the Minimal Common Data Elements (mCODE) initiative, establishing common data standards for oncology clinicians and researchers.