基于人工智能的医疗保健服务的分类学和原型:定性研究
Marlene Blaß1, Henner Gimpel1, Philip Karnebogen2
1FIM Research Center for Information Management, University of Hohenheim, Branch Business & Information Systems Engineering of the Fraunhofer FIT, Stuttgart, Germany.
Journal of medical Internet research
|November 27, 2024
概括
本研究介绍了一种分类法来对医疗保健服务中的人工智能 (AI) 进行分类,确定了4个关键视角和13个原型. 该框架帮助研究人员和从业人员理解和设计人工智能驱动的医疗保健解决方案.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 医疗保健管理的管理
背景情况:
- 全球卫生保健系统面临着人口老龄化和流行病带来的越来越大的负担.
- 人工智能 (AI) 的采用在医疗保健中正在增长,但概念理解滞后.
- 需要一个结构化的分类来理解人工智能对医疗保健服务的转变.
研究的目的:
- 确定基于人工智能的医疗保健服务的核心设计特征.
- 开发一个全面的分类系统,用于AI在医疗保健.
- 建立对人工智能服务产品及其采用的共识.
主要方法:
- 开发了一个多层分类学,使用一套既定的方法.
- 对268个基于人工智能的医疗保健服务进行了结构化的文献审查.
- 进行集群分析以识别服务原型并评估分类学适用性.
主要成果:
- 确定了4个关键视角:代理商,数据,人工智能和健康影响.
- 一项集群分析揭示了基于人工智能的13种不同的医疗保健服务原型.
- 开发的分类学证明了其实际应用.
结论:
- 这项研究为基于人工智能的医疗保健服务提供了一个基本的概念框架.
- 该分类学使研究人员和从业人员能够分析和改进AI健康解决方案的设计.
- 增强对AI在医疗保健领域的作用和应用的理解.
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