实时文档辅助工具的实施:自动诊断 (AutoDx)
Matthew T Cerasale1, Ali Mansour2, Ethan Molitch-Hou1
1Section of Hospital Medicine, Department of Medicine, University of Chicago, Chicago, Illinois, United States.
一个新的实时文档工具AutoDx在针对性诊断中显著减少了57%的编码查询. 这一创新也导致了病例混合指数 (CMI) 的显著增加,提高了医疗保健文档的效率.
科学领域:
- 医疗信息学 医疗信息学
- 改善临床文档的改善
- 医疗保健管理的管理
背景情况:
- 临床文档改进 (CDI) 计划是医疗保健中的标准,以增强提供者文档.
- 目前的方法,如编码查询,耗时,并破坏提供商的工作流程.
- 需要采取替代策略来改善文档,而不会增加负担.
研究的目的:
- 评估实时文档辅助工具AutoDx对编码查询量的影响.
- 评估AutoDx对遭遇级结果指标的影响,特别是案例混合指数 (CMI).
主要方法:
- 使用现有的电子健康记录工具开发了AutoDx,根据临床条件生成注释中的消息.
- 该工具最初专注于像电解质缺乏,肥胖和营养不良等诊断.
- 实施发生在医院医学和神经重症监护室 (NICU).
主要成果:
- 在医院医学中,针对性诊断的编码查询减少了57% (p < 0.0001).
- 在新生儿重症监护室,AutoDx查询的比例从54.9%降至37.1% (p < 0.0001).
- 在实施后观察到CMI显著增加 (4.00至4.55,p = 0.02).
结论:
- 在不同的临床环境中,AutoDx工具有效地减少了针对特定诊断的编码查询.
- 实施AutoDx与CMI的显著改善有关.
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