临床评估MiADE:一种自然语言处理系统,用于协助在护理点记录结构化诊断
Mairead McErlean1, Jack Ross2, Jonathan Kossoff3
1Centre for Medicines Optimisation Research & Education, University College London Hospitals NHS Foundation Trust, London, UK.
BMJ health & care informatics
|February 11, 2026
概括
一个新的自然语言处理 (NLP) 工具,MiADE,尽管临床医生使用较少,但门诊结构化诊断记录增加了23.7%. 需要进一步开发,以最大限度地提高这一点的护理NLP系统的影响.
科学领域:
- 医疗信息学 医疗信息学
- 临床NLP是指临床NLP.
- 电子健康记录电子健康记录
背景情况:
- 结构化诊断记录对于患者护理至关重要,但由于时间限制,通常是不完整的.
- 一个新的护理点自然语言处理 (NLP) 系统,医疗信息人工智能数据提取器 (MiADE) 已开发,以帮助结构化诊断记录.
研究的目的:
- 评估MiADE系统对电子健康记录中的结构化诊断记录的可用性,有用性和影响.
- 评估MiADE在现实临床环境中的有效性.
主要方法:
- 在国家卫生服务医院进行了一项混合方法评估.
- 使用了调查,采访和观察的门诊咨询. 结构化诊断记录率与MiADE实施前和之后的情况进行了比较.
- 住院病人问题列表的完整性被评估与计费诊断.
主要成果:
- 85名临床医生参与;24名临床医生积极使用MiADE. 一半的用户发现MiADE适度至非常有用.
- MiADE与每个门诊病人的结构性诊断增加了23.7%.
- 在住院患者的问题清单记录中没有观察到显著的改善.
结论:
- 显然,MiADE有可能改善门诊机构的结构化诊断记录,提高效率和安全性.
- 尽管记录数量略有增加,但临床医生的低采用率表明需要进一步开发和改进参与策略,以最大限度地发挥该工具的影响.
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