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This paper is in the following e-collection/theme issue:

Case Study (35) Clinical Information and Decision Making (2167) Tools, Programs and Algorithms (430) Decision Support for Health Professionals (1714) Electronic Health Records (1433) Depression and Mood Disorders; Suicide Prevention (1806) Machine Learning (2328) Artificial Intelligence (2482)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74240, first published .
Doctor in white coat using laptop with stethoscope around neck.

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study

Authors of this article:

Linda Hummel1, 2 Author Orcid Image ;   Karin C A G Lorenz-Artz1, 2 Author Orcid Image ;   Joyce J P A Bierbooms1 Author Orcid Image ;   Inge M B Bongers1 Author Orcid Image
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Journals

  1. Girão Carrilho M, Costa Pinto D, Wagner R, Rohden S, Telo de Arriaga M, Quelhas Pinto L. AI-Enabled Digital Health Promotion and Prevention: Computational Literature Review. JMIR AI 2026;5:e84492 View