Sharon Davis

Novel treatments for fake patients

A customizable framework uses simulated patients to distinguish effects of a new treatment from “learning effects” for clinicians; it should help identify training opportunities and hasten treatment improvements.

Machine learning aids injury prevention in cardiac cath labs

Model students: improving clinical decision-making

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

binary code - conceptual

Student research lauded at informatics symposium

Two studies from Vanderbilt University Medical Center took awards at the American Medical Informatics Association (AMIA) Annual Symposium.