消费者对在医疗保健环境中使用机器学习的看法:定性系统审查
Jacqueline H Stephens1, Celine Northcott1,2, Brianna F Poirier1,3
1Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
Digital health
|January 8, 2025
概括
消费者对医疗诊断中的人工智能和机器学习 (AI / ML) 有着复杂的看法,表现出犹和支持. 他们对医疗保健提供者的信任影响了他们对AI/ML工具的看法,他们希望参与AI/ML实施.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 消费者健康 消费者健康
背景情况:
- 人工智能和机器学习 (AI/ML) 越来越多地被整合到医疗诊断中.
- 了解消费者观点对于这些技术的道德和有效部署至关重要.
研究的目的:
- 探索和综合消费者对AI/ML工具用于医疗保健诊断的使用的观点.
主要方法:
- 一个定性系统审查和14项相关研究的元综合.
- 在OVID MEDLINE,OVID EMBASE,Scopus和Web of Science数据库中进行文献搜索,截至2022年4月.
主要成果:
- 出现了四个主要主题:信任,恐惧和不确定性;数据隐私和AI/ML治理;对医疗保健提供和获取的影响;以及消费者参与的愿望.
- 大多数被纳入的研究 (12/14) 来自高收入国家,采用定性或混合方法方法.
结论:
- 消费者对AI/ML在诊断中的理解是多方面的,包括理解和接受.
- 对医疗保健提供者的信任大大影响了消费者对AI/ML诊断工具的看法.
- 消费者认识到AI/ML在改善诊断准确性,效率和访问方面的潜力,并强烈倡导参与其实施.
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