Sharon Davis Archives
Novel treatments for fake patients
Jul. 7, 2023—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
Feb. 2, 2023— by Paul Govern Acute kidney injury, or AKI, is a common complication of cardiac catheterization, posing higher costs, longer hospital stays and increased short-term and long-term mortality risk. In a large, randomized trial conducted over a period of 18 months at 19 medical centers of the Veterans Health Administration, a quality improvement implementation trial...
Model students: improving clinical decision-making
Dec. 10, 2020—Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models.
Student research lauded at informatics symposium
Dec. 19, 2019—Two studies from Vanderbilt University Medical Center took awards at the American Medical Informatics Association (AMIA) Annual Symposium.
