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Updated: Mar 15, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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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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实施多因素跌倒干预模型以指导医院护士:一个准实验性的前后研究

Changju Liao1, Linghong Guo2,3, Pengjie Li4

  • 1Department of Nursing, Zigong First People's Hospital, Zigong, Sichuan, China.

Scientific reports
|March 14, 2026
PubMed
概括

一个新的多因素跌倒干预模型 (MFIM) 显著减少了患者在医院中的跌倒和跌倒伤害. 这种全面的模型使护士能够提高患者的安全性,并有效地减轻跌倒风险.

关键词:
在秋天的秋天,秋天的秋天.跌倒伤害 跌倒伤害预防跌倒 预防跌倒模型模型模型模型模型护理指南 护理指南

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