适应性问卷以促进在临床决策支持系统中输入患者数据:STOPP/START v2的方法和应用
Lamy Jean-Baptiste1, Mouazer Abdelmalek2, Léguillon Romain2,3
1INSERM, Sorbonne Universite, Universite Sorbonne Paris Nord, Laboratory of Medical Informatics and Knowledge Engineering in e-Health, LIMICS, 15 rue de l'école de médecine, Paris, 75006, France. jean-baptiste.lamy@inserm.fr.
BMC medical informatics and decision making
|November 5, 2024
概括
本研究引入了一个适应性问卷,以简化为临床决策支持系统输入患者数据. 这种新的方法显著减少了数据输入,提高了临床医生的可用性.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 临床决策支持 临床决策支持
背景情况:
- 临床决策支持系统 (CDSS) 由于繁的手动数据输入,临床医生接受度很低.
- 现有的从电子健康记录中提取数据的自动化方法存在数据质量和可用性不佳的问题.
- 许多CDSS仍然依赖于漫长的问卷来输入患者数据.
研究的目的:
- 开发一个适应性问卷来简化基于规则的CDSS的患者数据输入.
- 为了减少使用CDSS的临床医生输入数据的负担.
- 为了提高CDSS的可用性和接受性.
主要方法:
- 设计方法将临床规则转化为调查问卷的动态显示规则.
- 开发了基于规则关系的问卷项优先级的算法.
- 将适应性问卷方法应用于实施STOPP/START v2多药指南的CDSS.
主要成果:
- 适应性问卷将显示的临床条件数量减少了大约三分之二.
- 这种减少在临床病例和真实患者数据中都被观察到.
- 临床医生发现,在焦点小组会议期间,适应性问卷"相当容易使用".
结论:
- 适应性问卷显著简化了CDSS的患者数据输入.
- 这种方法提高了CDSS的实际可用性,可能增加临床医生的接受度.
- 该方法适用于其他临床指南,并可适应患者数据输入.
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