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Updated: Jan 11, 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

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在老年护理设施中进行上下文意识警报:一个混合框架,将LLM推理与基于规则的逻辑集成在一起

Nazmun Nahid1, Md Atiqur Rahman Ahad2, Sozo Inoue1

  • 1Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu Ward, Kitakyushu 808-0135, Japan.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
概括

这项研究引入了老年护理的智能护士警报系统,使用人工智能和基于规则的逻辑,显著减少了72.5%的不必要警报. 这提高了长期护理机构的患者安全和护理人员效率.

关键词:
警报 疲劳 警报 疲劳情境感知系统是情境感知系统.落检测系统 落检测系统 落检测系统大型语言模型长期护理 长期护理护士发出警报 护士发出警报护理护理护理护理护理护理护理护理护理护理

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