Experiencing a mental health crisis has a detrimental impact on a patient’s life. A machine learning algorithm trained retrospectively with electronic health records can predict almost 60% of mental health crises 4 weeks in advance. Prospective evaluation of the algorithm in clinical practice reveals its potential to enable preemptive interventions.
This is a preview of subscription content
Access options
Subscribe to Nature+
Get immediate online access to the entire Nature family of 50+ journals
$29.99
monthly
Subscribe to Journal
Get full journal access for 1 year
$59.00
only $4.92 per issue
All prices are NET prices.
VAT will be added later in the checkout.
Tax calculation will be finalised during checkout.
Buy article
Get time limited or full article access on ReadCube.
$32.00
All prices are NET prices.
References
Paton, F. et al. Improving outcomes for people in mental health crisis: a rapid synthesis of the evidence for available models of care. Health Technol. Assess. 20, 1–162 (2016). This review article evaluates the clinical effectiveness and cost-effectiveness of the models of care for improving outcomes at each stage of the care pathway.
Miller, V. & Robertson, S. A role for occupational therapy in crisis intervention and prevention. Aust. Occup. Ther. J. 38, 143–146 (1991). This paper presents some of the basic concepts in crisis-intervention theory and crisis prevention and their application to current service provision in mental health.
Horwitz, L. I. et al. Creating a learning health system through rapid-cycle, randomized testing. N. Engl. J. Med. 381, 1175–1179 (2019). This paper highlights the importance of continual testing and rapid cycling to improve processes in healthcare.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: Garriga, R. et al. Machine learning model to predict mental health crises from electronic health records. Nat. Med. https://doi.org/10.1038//s41591-022-01811-5 (2022).
Rights and permissions
About this article
Cite this article
Machine learning paves the way toward the prevention of mental health crises. Nat Med 28, 1135–1136 (2022). https://doi.org/10.1038/s41591-022-01820-4
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41591-022-01820-4
