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在住院成年人中用于药物滥用查的人工智能算法的临床实施

Juan C Rojas¹, Cara Joyce², Talar W Markossian³

¹Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Rush University, Chicago, IL, United States.

medRxiv : the preprint server for health sciences

|December 3, 2025

概括

人工智能辅助的药物使用障碍查没有满足服务提供不劣质的要求,但维持了结果并降低了成本. 这项研究表明,自动选是可行的,对于大规模实施是有价值的.

科学领域:

医疗信息学医疗信息学
医疗保健中的人工智能
药物使用障碍治疗药物使用障碍治疗

背景情况:

手动住院检查药物滥用是资源密集的,应用不一致.
评估人工智能 (AI) 辅助查对于在现实环境中评估临床和经济表现至关重要.

研究的目的:

评估基于人工智能的查计划 (SMART-AI) 与手动查相比,是否保持了与成有关的服务提供.
评估人工智能辅助查对患者再入院和医疗保健成本的影响.

主要方法:

一个前性的,准实验性的前后研究在一个大型学术医疗中心进行.
这项研究将手动查 (N=31,432次住院) 与使用SMART-AI (N=33,564次住院) 的AI增强查进行了比较.
主要结果是接受与成有关的服务;次要结果包括6个月的再入院和计划费用.

主要成果:

与成相关的服务接受率为3.8% (手册) 与3.4% (SMART-AI) 相比,没有达到非劣势差距 (-0.4分点;P=0.20).
六个月再入院 (30.5%) 和违背医疗建议出院 (1.3%对1.1%) 在各组之间没有差异.
通过SMART-AI自动化,计划成本每年减少6,166.71美元.

结论:

人工智能辅助查没有满足服务交付的非劣等性,但保持了次要结果.
这些发现支持大规模自动化物质使用障碍查的可行性和潜在价值.
SMART-AI 展示了在医疗保健机构节省成本的潜力.

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