clinical decision support Archive — Page 1 of 1

Blood clot simulation
November 10, 2023

Grant to advance prevention of hospital-acquired blood clots

A Vanderbilt team team will develop and test new clinical decision support tools to facilitate timely prevention of potentially lethal hospital-acquired blood clots, also known as venous thromboembolism.

Illustration of an electronic health record on a tablet, showing a medical cross inside a color-coded chart, with icons for blood, microscopy, heart monitoring, test tubes, and DNA analysis connected around it.
April 10, 2023

The problem with the problem list

Algorithms to infer missing problems and suggest that they be added to electronic health records improved problem list completeness, with benefits for clinical care, patient comprehension of health conditions and population health.

White tablets spilled from an open orange prescription bottle, with additional pill bottles blurred in the background.
May 23, 2022

Pushing (anti-overdose) drugs

An automated alert to encourage clinicians to coprescribe naloxone for patients at risk of opioid overdose increased naloxone prescriptions per opioid prescription 16-fold.

Four smiling men stand outdoors in front of trees; the two men in the center hold small gold trophy cups.
June 9, 2021

Award recognizes hands-on contributions to health IT at VUMC

Chetan Aher, MD, assistant professor of Surgery, and Wael Alrifai, MD, assistant professor of Pediatrics and Biomedical Informatics, are the inaugural winners of the Physician Builder Award, sponsored by the Vanderbilt Clinical Informatics Center (VCLIC). They received trophies made from Lego building blocks and gift certificates.

Magnifying glass overlaid on blue financial charts, bar graphs, line graphs, statistics, and digital data icons.
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 3, 2019

Study: personalized decision support affects intensive care

For patients in pediatric intensive care who are at high risk for acute kidney injury (AKI), giving clinicians automated decision support during the electronic order entry process increased the rate of blood testing for AKI by 9%.