在临床环境中开发和实施人工智能的检查清单方法:仪器开发研究
Ayomide Owoyemi1, Joanne Osuchukwu2, Megan E Salwei3
1Department of Biomedical and Health Informatics, University of Illinois Chicago, 1919 W Taylor, Chicago, IL, 60612, United States, 1 3129782703.
JMIRx med
|February 20, 2025
概括
这项研究开发了一份临床人工智能社会技术框架检查清单,以指导人工智能 (AI) 在医疗保健中的成功整合. 这份35项检查清单确保人工智能系统与临床需求和社会技术因素保持一致,以改善患者的治疗结果.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 临床信息学是一种临床信息学.
- 医学中的人工智能.
背景情况:
- 将人工智能 (AI) 整合到医疗保健中需要仔细考虑技术性能和社会技术因素.
- 现有的方法往往忽视了影响AI在临床环境中的采用复杂的社会和组织动态.
研究的目的:
- 制定一个全面的检查清单,解决在医疗保健中部署人工智能的社会技术方面.
- 为整个AI系统生命周期中为医疗保健团队提供结构化,整体的指南.
主要方法:
- 20项研究的文献综合报告为最初的检查清单提供了信息.
- 一项经过修改的Delphi研究涉及35名全球医疗保健专业人员,改进了检查清单项目.
- 使用80%的值建立了共识,可靠性通过IQR和Cronbach的alpha进行评估.
主要成果:
- 根据专家反,最初的45项检查清单被改进为34项.
- 最终的35项检查清单在参与者之间达到了100%的共识.
- 该清单有效地解决了AI在医疗保健中的规划,设计,开发和实施阶段.
结论:
- 临床AI社会技术框架检查清单为开发和实施AI在临床环境中的实际工具提供了实用工具.
- 它解决了成功采用和整合人工智能所必需的关键技术和社会因素.
- 该检查清单旨在提高患者的治疗结果,并简化将AI整合到医疗保健工作流程中.
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