在医疗保健中实施人工智能的指导框架:协同创建研究项目的协议
Per Nilsen1,2, Petra Svedberg1, Margit Neher1
1School of Health and Welfare, Halmstad University, Halmstad, Sweden.
JMIR research protocols
|November 8, 2023
概括
本研究介绍了人工智能质量实施框架 (AI-QIF),以指导医疗保健的人工智能采用. AI-QIF旨在克服障碍,确保有结构的实施,以改善患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 实施科学 实施科学
背景情况:
- 由于各种障碍,医疗保健在采用人工智能 (AI) 方面面临着挑战.
- 实施科学强调结构化流程来克服这些障碍.
- 需要专门的工具来指导在医疗保健环境中实施人工智能.
研究的目的:
- 开发和评估人工智能质量实施框架 (AI-QIF).
- AI-QIF旨在指导在医疗保健中实施AI应用的决策和活动.
- 该框架旨在解决医疗保健人工智能实施方面的知识和工具缺乏问题.
主要方法:
- 基于质量实施框架 (QIF) 的AI-QIF的开发.
- 一个五阶段的开发过程,主要使用定性方法.
- 将与医疗保健利益相关者共同创作原则纳入4个阶段.
主要成果:
- 人工智能-QIF正在开发,作为支持在日常医疗保健中实施人工智能的工具.
- 该框架借鉴了2021年启动的更大研究计划的知识.
- 从2023年1月到2024年12月,开发正在进行中,并不断改进.
结论:
- AI-QIF旨在促进基于AI的应用程序在医疗保健中的实施.
- 结构化和精心准备的实施过程对于成功采用人工智能至关重要.
- 该框架的联合制作将增强其实际相关性,有效性和有用性.
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