Moy Sally, Irannejad Mona, Manning Stephanie Jeanneret, Farahani Mehrdad, Ahmed Yomna, Gao Ellis, Prabhune Radhika, Lorenz Suzan, Mirza Raza, Klinger Christopher
Translational Research Program, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
National Initiative for the Care of the Elderly, Toronto, Canada.
J Patient Cent Res Rev. 2024 Apr 2;11(1):51-62. doi: 10.17294/2330-0698.2029. eCollection 2024 Spring.
Artificial intelligence (AI) technology is being rapidly adopted into many different branches of medicine. Although research has started to highlight the impact of AI on health care, the focus on patient perspectives of AI is scarce. This scoping review aimed to explore the literature on adult patients' perspectives on the use of an array of AI technologies in the health care setting for design and deployment.
This scoping review followed Arksey and O'Malley's framework and Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR). To evaluate patient perspectives, we conducted a comprehensive literature search using eight interdisciplinary electronic databases, including grey literature. Articles published from 2015 to 2022 that focused on patient views regarding AI technology in health care were included. Thematic analysis was performed on the extracted articles.
Of the 10,571 imported studies, 37 articles were included and extracted. From the 33 peer-reviewed and 4 grey literature articles, the following themes on AI emerged: (i) Patient attitudes, (ii) Influences on patient attitudes, (iii) Considerations for design, and (iv) Considerations for use.
Patients are key stakeholders essential to the uptake of AI in health care. The findings indicate that patients' needs and expectations are not fully considered in the application of AI in health care. Therefore, there is a need for patient voices in the development of AI in health care.
人工智能(AI)技术正迅速应用于医学的许多不同分支。尽管研究已开始凸显人工智能对医疗保健的影响,但对患者对人工智能看法的关注却很少。本范围综述旨在探索关于成年患者对在医疗保健环境中使用一系列人工智能技术进行设计和部署的看法的文献。
本范围综述遵循阿克西和奥马利的框架以及系统评价和元分析扩展综述的首选报告项目(PRISMA-ScR)。为了评估患者的看法,我们使用八个跨学科电子数据库进行了全面的文献检索,包括灰色文献。纳入了2015年至2022年发表的关注患者对医疗保健中人工智能技术看法的文章。对提取的文章进行了主题分析。
在10571项导入研究中,纳入并提取了37篇文章。从33篇同行评审文章和4篇灰色文献文章中,出现了以下关于人工智能的主题:(i)患者态度,(ii)对患者态度的影响,(iii)设计考量,以及(iv)使用考量。
患者是医疗保健中采用人工智能不可或缺的关键利益相关者。研究结果表明,在医疗保健中应用人工智能时,患者的需求和期望并未得到充分考虑。因此,在医疗保健人工智能的开发中需要听取患者的意见。