将人工智能预测目标与临床工作流程结合起来,使用以人为中心的设计方法
medRxiv : the preprint server for health sciences
|February 6, 2026
概括
以人为中心的设计通过将预测模型与临床工作流程对齐来改善医疗保健人工智能. 这种方法确保人工智能 (AI) 工具支持可行的干预措施,提高患者的治疗结果.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 临床决策支持 临床决策支持
- 人与计算机的交互
背景情况:
- 医疗保健中的人工智能 (AI) 模型通常显示出强大的预测准确性,但由于与临床工作流程的整合不佳,无法改善患者的结果.
- 人工智能模型的技术性能与其现实世界的临床实用性之间存在差距.
研究的目的:
- 展示以人为中心的设计方法来开发医疗保健人工智能模型.
- 确保AI预测目标与可行的临床干预措施保持一致,并改善患者的治疗结果.
主要方法:
- 使用了儿科急性损伤的案例研究.
- 一个多学科的工作组采用了用户故事,人,环境,技术和任务 (PETT) 扫描和流程映射.
- 在AI模型开发之前,分析了社会技术因素和工作流杆点.
主要成果:
- 针对不同的临床角色 (医院医生,科医生,重症治疗师) 确定了不同的预测目标.
- 关键障碍包括监测不足,风险患者的可见性差,以及损伤进展不清楚.
- 定义了具有高影响力的预测目标,以支持可行的干预措施.
结论:
- 在AI开发之前,整合临床背景和以人为中心的设计至关重要.
- 这种方法弥合了人工智能模型性能和临床实用性之间的差距.
- 该方法可以提高AI在改善患者护理方面的有效性.
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