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Updated: Jul 19, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

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自杀风险预测模型在医疗保健提供变化期间的稳定性

Gregory E Simon1, Maricela Cruz1, Susan M Shortreed1

  • 1Washington Health Research Institute, Kaiser Permanente, Seattle (Simon, Cruz, Shortreed); Bernard J. Tyson School of Medicine (Simon, Coleman) and Southern California Department of Research and Evaluation (Coleman), Kaiser Permanente, Pasadena; Department of Biostatistics, University of Washington, Seattle (Cruz, Shortreed); Northern California Division of Research, Kaiser Permanente, Oakland (Sterling); Henry Ford Health Center for Health Services Research, Detroit (Ahmedani); U.S. Food and Drug Administration (FDA), Silver Spring, Maryland (Yaseen, Mosholder).

Psychiatric services (Washington, D.C.)
|August 17, 2023
PubMed
概括

在2015年之前开发的自我伤害预测模型在以后几年预测自我伤害和自杀事件时保持了准确性. 新模型没有改善预测性能.

关键词:
流行病学 流行病学心理健康访问 精神健康访问风险预测风险预测自杀和自我破坏的行为.

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