Becker's Healthcare May 16, 2022
Naomi Diaz

Nashville, Tenn.-based Vanderbilt University Medical Center researchers found that clinician assessment paired with automated machine learning could improve suicide risk detection in patients, according to a study published May 13 in JAMA Open.

Researchers combined the Columbia Suicide Severity Rating Scale, a six-item questionnaire, with the Vanderbilt Suicide Attempt and Ideation Likelihood, a machine learning algorithm, to analyze 120,398 patient visits from June 2019 to September 2020.

For every patient visit, the algorithm generated risk scores based...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Patient / Consumer, Physician, Provider, Survey / Study, Technology, Trends
Mayo, AdventHealth, Emory: 6 Big Tech health system partnerships
Apple’s OpenGL and iOS 18: Shaping the future of health care technology
Altman handpicked for Homeland Security's AI safety board
Royal Papworth CIO presents six actions for trusts’ AI journey
Hospitals Are Using AI To Help Manage Patient Messages to Physicians

Share This Article