以人工智能为媒介的循环学习框架:将个人经验转化为组织知识和自主参与老年护理
Naoki Mitsugi1,2, Koki Ijuin1, Chiaki Oshiyama1
1School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Japan.
Frontiers in digital health
|July 18, 2025
概括
本研究介绍了一种人工智能支持的方法,用于老年护理人力资源开发,增强员工反思和组织学习. 这种方法改善了护理机构的协作,工作程序和主动行为.
科学领域:
- 老年学是一门学科.
- 人力资源发展 人力资源发展
- 医疗保健中的人工智能
背景情况:
- 日本的老年护理行业面临着严峻的挑战:劳动力短缺,高员工流动,以及对IT的不足利用.
- 有效的人力资源发展对于克服这些障碍和提高护理质量至关重要.
研究的目的:
- 提出和评估一种由人工智能支持的方法,以增强老年护理中的个人和组织发展.
- 用AI整合科尔布的体验式学习理论和休伯的组织学习框架.
主要方法:
- 工作人员通过数字工具记录日常观测,由人工智能系统处理数据组织和可视化.
- 人工智能驱动的分析将个人经验转化为结构化的组织知识 (手册).
- 可视化数据有助于管理人员提供个性化指导,促进反思和行为改进.
主要成果:
- 人工智能支持的反思增强了组织协作,改善了工作程序.
- 工作人员表现出更高的目标意识和积极的行为.
- 个人学习被系统地转化为组织知识,创建实用手册.
结论:
- 这种由人工智能支持的方法为老年护理的人力资源开发提供了一个实用,可扩展的解决方案.
- 它通过成本效益高的数字基础设施提高了护理质量和劳动力发展.
- 这种方法解决了老年护理行业的关键挑战,促进了持续的学习和适应.
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