Predicting suicide risk in adults optimized with combined in-person, electronic models

Suicide risk prediction in adults was optimized when utilizing both in-person screening and electronic data, according to a study published in JAMA Network Open.
“Mental health diagnoses are often absent in records of those who subsequently die from suicide. Better risk identification and prognostication might improve outreach and prevention,” Drew Wilimitis, BS, of the department of biomedical informatics at Vanderbilt University in Nashville, and colleagues wrote.
Researchers aimed to evaluate individual and combined effectiveness of the Columbia Suicide Severity Rating Scale

Suicide risk prediction in adults was optimized when utilizing both in-person screening and electronic data, according to a study published in JAMA Network Open.
“Mental health diagnoses are often absent in records of those who subsequently die from suicide. Better risk identification and prognostication might improve outreach and prevention,” Drew Wilimitis, BS, of the department of biomedical informatics at Vanderbilt University in Nashville, and colleagues wrote.
Researchers aimed to evaluate individual and combined effectiveness of the Columbia Suicide Severity Rating Scale