Artificial intelligence predicts opioid overdose in Tennessee

Researchers at Vanderbilt and the Tennessee Department of Health have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state.

AI predicts next-day delirium or coma in ICU patients

A team at Vanderbilt University Medical Center used machine learning to predict the likelihood of next-day brain function status changes in critical care patients.

Indiana University’s Embí named chair of the Department of Biomedical Informatics

Peter Embí, MD, MS, President and Chief Executive Officer for the Regenstrief Institute Inc., and professor of Medicine and Biostatistics & Health Data Science at the Indiana University School of Medicine, has been named as the new chair of Vanderbilt’s Department of Biomedical Informatics.

Using billing codes to count cancers

The billing codes in electronic health records are useful for counting skin cancers over time — an important metric for cancer risk assessment and prevention.

Drug allergy labels in medical records power searches for gene-drug associations

Predicting blood clots before they happen in pediatric patients

Monroe Carell Jr. Children’s Hospital at Vanderbilt has launched a study to determine the impact of a predictive model for identifying pediatric patients at risk for developing blood clots or venous thromboembolisms (VTEs).