News

Final Summary Report for 25x5 Initiative to Reduce Documentation Burden by 75% Available Now — Read Here!

Reducing documentation burden on U.S. clinicians is an urgent priority within the health care community, and leaders around the field continue to collaborate on this effort since the conclusion of the 25x5 Symposium, held over six weeks in early 2021 to set the foundation for those efforts.  The 25x5 Symposium was developed to establish strategies and approaches to reduce clinician documentation burden on U.S. clinicians by 75% by 2025. 

Vanderbilt Clinical Informatics Center (VCLIC) Hiring Application Developer

The Vanderbilt Clinical Informatics Center, a world-leading group of researchers and practitioners studying how to make EHRs work better, with a particular focus on innovative clinical decision support systems, artificial intelligence, and machine learning, has recently initiated a Clinical Informatics Core.

DBMI Digest November 2021 Issue — Now Available!

The Vanderbilt University Medical Center (VUMC) Department of Biomedical Informatics's (DBMI) monthly newsletter, DBMI Digest, is now available to view. Read the November 2021 issue here.  Each DBMI Digest features department & faculty announcements, awards & appointments, educational & HR updates, funding opportunities and more. Each issue also includes a profile of one of our faculty, staff, postdocs and students. 

Bennett Landman Awarded $2.6 Million Grant to Improve Alzheimer’s Patient MGMT

Bennett Landman, PhD, Chair of the Department and Professor of Electrical and Computer Engineering, received a $2.6 million NIH grant to improve the understanding of structural changes in the brains of people who have Alzheimer’s Disease. The goal is to identify opportunities for early intervention by developing more effective interventional strategies. Dr. Landman leads the four-year project.

Artificial Intelligence Predicts Opioid Overdose in Tennessee: Study by Colin Walsh

Researchers at Vanderbilt University Medical Center and the Tennessee Department of Health (TDOH) have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state. The team applied machine learning techniques to statewide data sources that included details on 2,574 fatal and 8,455 non-fatal opioid-related overdoses occurring within 30 days of an opioid prescription. In all, the data involved just over 3 million patients and more than 71 million prescriptions for controlled substances.