以人工智能为主导的翻译优化和估计放电的实现与支持性的周末跨专业流动团队 (TAILORED-SWIFT)
Brandon Stretton1,2,3,4, Andrew E C Booth2,4, Shrirajh Satheakeerthy2,4
1Lyell McEwin Hospital, Elizabeth Vale, SA, 5112, Australia.
Internal and emergency medicine
|June 22, 2024
概括
人工智能 (AI) 增强了周末出院计划,增加了周末患者的出院次数. 这种由人工智能驱动的方法被证明是具有成本效益的,提高了医院的效率和患者流动.
科学领域:
- 医疗保健管理的管理
- 人工智能在医学中的应用
- 医院运营 医院运营
背景情况:
- 周末出院的频率低于周日出院,导致医院拥堵.
- 预测性人工智能 (AI) 算法可以识别即将从病房出院的患者.
研究的目的:
- 实施和评估一个人工智能算法与一个多学科的出院促进团队结合周末出院.
- 评估这种干预对周末排放率和数量及其成本效益的影响.
主要方法:
- 预测出院准备情况的AI算法与第三级医院的周末出院促进团队相结合.
- 前一年的历史队列作为对照组进行了比较.
- 这项研究包括3990名患者,比较了干预期和对照期.
主要成果:
- 干预组的周末出院人数显著增加 (中位数为18%与14%,P=0.031).
- 在干预期间,周末排放的绝对数量更高 (P=0.025).
- 经济分析表明,这种方法具有成本效益.
结论:
- 人工智能辅助的排放便利化显著增加了周末的排放.
- 这种干预措施是提高医院效率的成本效益战略.
- 需要进一步的研究来证实在不同的医疗保健环境中普遍性.
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