Becker's Healthcare May 16, 2022
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...