npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-11-21 , DOI: 10.1038/s41746-024-01326-y Nehal Hassan, Robert Slight, Kweku Bimpong, David W. Bates, Daniel Weiand, Akke Vellinga, Graham Morgan, Sarah P. Slight
Artificial intelligence (AI)-enabled decision aids can contribute to the shared decision-making process between patients and clinicians through personalised recommendations. This systematic review aims to understand users’ perceptions on using AI-enabled decision aids to inform shared decision-making. Four databases were searched. The population, intervention, comparison, outcomes and study design tool was used to formulate eligibility criteria. Titles, abstracts and full texts were independently screened and PRISMA guidelines followed. A narrative synthesis was conducted. Twenty-six articles were included, with AI-enabled decision aids used for screening and prevention, prognosis, and treatment. Patients found the AI-enabled decision aids easy to understand and user-friendly, fostering a sense of ownership and promoting better adherence to recommended treatment. Clinicians expressed concerns about how up-to-date the information was and the potential for over- or under-treatment. Despite users’ positive perceptions, they also acknowledged certain challenges relating to the usage and risk of bias that would need to be addressed.
Registration: PROSPERO database: (CRD42020220320)
中文翻译:
系统评价,了解用户对 AI 决策辅助工具的看法,为共同决策提供信息
人工智能 (AI) 支持的决策辅助工具可以通过个性化建议促进患者和临床医生之间的共同决策过程。本系统综述旨在了解用户对使用人工智能决策辅助工具为共同决策提供信息的看法。检索了 4 个数据库。使用人群、干预、比较、结局和研究设计工具制定合格标准。独立筛选标题、摘要和全文,并遵循 PRISMA 指南。进行了叙述性综合。纳入 26 篇文章,人工智能决策辅助用于筛查和预防、预后和治疗。患者发现 AI 支持的决策辅助工具易于理解且用户友好,培养了主人翁意识并促进了对推荐治疗的更好依从性。临床医生对信息的时效性以及过度治疗或治疗不足的可能性表示担忧。尽管用户的看法是积极的,但他们也承认存在一些需要解决的与使用和偏倚风险相关的挑战。
注册:PROSPERO 数据库: (CRD42020220320)