利用人工智能来提高在利用管理环境中住院患者指定的临床适当性
Lori Tuccio1,2, Tonia Catapano2, Joy Elwell3
1Doctor of Nursing Practice Program, University of Connecticut, Storrs, CT, USA lorituccio@gmail.com las00021@uconn.edu.
Journal of doctoral nursing practice
|September 29, 2025
概括
一个人工智能 (AI) 工具通过改善患者评估,降低了医院观察服务费率. 这种人工智能驱动的方法增强了共患病和医疗必要性的识别,从而导致更好的护理层面决策.
科学领域:
- 医疗保健管理的管理
- 临床信息学 临床信息学
- 护理实践 护理实践
背景情况:
- 不适当使用观察服务会影响医院的报销.
- 现有的患者安置标准是限制性的,并忽略了先前存在的条件.
- 需要改进利用管理 (UM) 来准确观察和住院患者的决策.
研究的目的:
- 评估人工智能 (AI) 工具对观察服务费率的影响.
- 评估人工智能是否有助于识别并发病症和医疗必要性的住院适应性.
- 为了确定人工智能是否能改善大型学术卫生系统UM注册护士 (RN) 部门的决策.
主要方法:
- 使用了实施前和后的研究设计.
- 对比观察与住院出院量和转换率.
- 利用人工智能工具协助UM RN进行患者护理水平评估.
主要成果:
- 监测服务的排放率从16.69%下降到12.75%实施后的月平均值.
- UM RNs使用AI护理水平得分来指导提供者讨论.
- 人工智能的实施促进了更好的患者安置决策.
结论:
- 人工智能工具可以有效地降低UM的观测服务放电率.
- 更好地识别并发病症和医疗必要性可以提高决策.
- 人工智能支持护士倡导适当的住院治疗.
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