优化护理记录:探索人工智能增强文档的影响
Ryoma Seto1, Susumu Wakabayashi1,2, Yuko Takeyama3
1Health Informatics, Faculty of Healthcare, Tokyo Healthcare University, Japan.
Studies in health technology and informatics
|August 8, 2025
概括
护理记录中的结构化模板显著减少了缺失的信息和冗余,提高了患者护理质量和安全. 人工智能工具可以进一步提高一致的临床实践的遵守性和数据完整性.
科学领域:
- 医疗信息学 医疗信息学
- 护理文档护理文档
- 临床数据管理 临床数据管理
背景情况:
- 标准化医疗记录对于提高患者护理质量和安全至关重要.
- 自由形式的护理文档往往导致效率低下,模两可,数据缺口.
- 评估对结构化模板的遵守是优化临床记录的关键.
研究的目的:
- 评估在护理记录中遵守预定义的文档模板.
- 为了确定缺失信息,冗余条目和药物提及特异性的比例.
- 评估结构化模板对文档质量和患者安全的影响.
主要方法:
- 使用文本挖掘技术分析了90,432份匿名护理记录.
- 评估五个关键主题的坚持:轻度发烧,疼痛,发烧,肠道控制和降低发烧.
- 缺少项目的量化,冗余条目和药物分类的特异性.
主要成果:
- 缺失信息的比率从40.0% (降低发烧) 到43.9% (疼痛) 之间.
- 冗余条目从11.7% (轻度发烧) 到20.0% (发烧) 不同.
- 与一般分类相比,结构化模板提高了药物提及的具体性,提高了患者的安全性.
结论:
- 结构化模板对于减少可变性和提高护理记录的完整性至关重要.
- 用户友好的模板和人工智能技术的整合可以优化合规性和数据准确性.
- 为了成功实施,需要对用户体验和组织因素进行进一步的研究.
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