Journal of the American Medical Informatics Association (JAMIA)

October 19, 2021

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.

Interventions such as daily spontaneous waking trials can help patients avoid injuries associated with intensive care.
September 30, 2021

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.

May 3, 2021

Strength in numbers

Voluntary data sharing across a region’s health systems and ambulatory care practices is important for measuring and improving health care quality and safety, Vanderbilt researchers report.

January 7, 2021

Building a cohort, the easy way

An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions.

December 10, 2020

Model students: improving clinical decision-making

Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.

October 29, 2020

New tool rapidly identifies health records for studies

Electronic health records (EHR) are increasingly a resource for biomedical discovery, and automated searches for records that reflect a phenotype of interest, typically a disease, are a common starting point.