在医疗保健组织中实施机器学习应用:实证研究系统审查协议
Vittoria Ardito1, Giulia Cappellaro1,2, Amelia Compagni1,2
1Center for Research on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Milan, Italy.
本系统性审查审查了医疗保健组织中机器学习 (ML) 的实施情况. 它确定了在临床环境中成功采用ML的挑战和策略.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 医疗保健管理的管理
背景情况:
- 人们对医疗保健中的机器学习 (ML) 应用越来越感兴趣.
- 在医疗保健组织中实施ML面临着巨大的复杂性和挑战.
- 有限的经验研究讨论了这些挑战如何在实践中克服.
研究的目的:
- 将在医疗保健环境中实施的ML应用进行映射,重点关注组织因素.
- 分析在临床实践中成功采用ML的过程和策略.
主要方法:
- 按照PRISMA-P的指导方针进行系统的文献审查.
- 在PubMed,Scopus和Web of Science数据库中进行了搜索 (2013-2023年).
- 包括关于医疗保健专业人员在临床环境中实施ML应用的经验研究.
主要成果:
- 审查正在进行中,数据分析正在进行中.
- 预计将于2023年9月完成,结果将于2023年11月提交.
- 在PROSPERO.中注册的研究协议.
结论:
- 机器学习应用,特别是用于临床决策支持和任务自动化,带来了独特的复杂性.
- 本综述提供了对ML实施的组织视角.
- 旨在系统化有关影响ML在医疗保健中的成功整合因素的信息.
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