利益相关者对诊断人工智能的看法:一个共同制作的定性证据综合
Rachel Yi Ling Kuo1, Alexander Freethy2, Judi Smith1
1Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford, UK.
EClinicalMedicine
|March 29, 2024
概括
利益相关者的观点对于在诊断中实施人工智能 (AI) 是至关重要的. 解决患者,临床医生,研究人员和领导者之间的信任,参与和合作是成功在医疗保健中采用人工智能的关键.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
- 医疗保健中的人工智能
背景情况:
- 对诊断服务的日益增长的需求凸显了劳动力短缺问题.
- 人工智能 (AI) 具有提高诊断效率,准确性和可访问性的潜力.
- 了解不同利益相关者的观点对于在诊断中有效实施人工智能至关重要.
研究的目的:
- 系统地审查和综合现有关于有关AI诊断的利益相关者的观点的文献.
- 确定影响AI在诊断环境中的采用和实施的关键主题,关系和挑战.
- 开发一个修改后的框架来指导未来的研究和实施诊断AI.
主要方法:
- 对英语语言,同行评审定性或混合方法研究的系统文献综述.
- 搜索了多个数据库,包括PubMed,MEDLINE/Embase,Scopus,CINAHL和科学网络.
- 使用"最适合"的框架方法进行分析,应用非采用,放弃,扩大,扩散,可持续性 (NASSS) 框架.
主要成果:
- 包括来自16577篇选文章的44项研究,涉及689名受访者和402名焦点小组参与者.
- 确定了四个主要利益相关者群体:患者,临床医生,研究人员和医疗保健领导者,并指出患者,研究人员和领导者的代表性不足.
- 开发了一个概念模型,强调信任,参与和协作,以及为诊断AI量身定制的修改后的NASSSS框架.
结论:
- 对诊断AI的实施策略必须优先考虑代表性,并解决所有利益相关者群体的担忧.
- 未来的研究和实施应考虑在适应的NASS-AI框架内整合AI.
- 在所有利益相关者之间建立信任和促进合作对于成功将AI纳入诊断实践至关重要.
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