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进行系统评价以了解用户对支持人工智能的决策辅助工具的看法，为共同决策提供信息。

Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making.

作者信息

Hassan Nehal, Slight Robert, Bimpong Kweku, Bates David W, Weiand Daniel, Vellinga Akke, Morgan Graham, Slight Sarah P

机构信息

School of Pharmacy / Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.

Newcastle Upon Tyne Hospitals NHS Foundation Trust, Freeman Hospital, Newcastle upon Tyne, UK.

出版信息

NPJ Digit Med. 2024 Nov 21;7(1):332. doi: 10.1038/s41746-024-01326-y.

DOI:10.1038/s41746-024-01326-y
PMID:39572838
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11582724/
Abstract

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).

摘要

借助人工智能（AI）的决策辅助工具可以通过个性化推荐，助力患者与临床医生之间的共同决策过程。本系统评价旨在了解用户对于使用借助人工智能的决策辅助工具以促进共同决策的看法。检索了四个数据库。使用人群、干预措施、对照、结局和研究设计工具来制定纳入标准。对标题、摘要和全文进行独立筛选，并遵循PRISMA指南。进行了叙述性综合分析。纳入了26篇文章，其中借助人工智能的决策辅助工具用于筛查与预防、预后及治疗。患者认为借助人工智能的决策辅助工具易于理解且用户友好，能培养主人翁意识并促进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。尽管用户看法积极，但他们也承认在使用方面存在某些挑战以及存在需要解决的偏倚风险。注册情况：PROSPERO数据库：（CRD42020220320）

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f909/11582724/2c285e5dd7b3/41746_2024_1326_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f909/11582724/09948606eabd/41746_2024_1326_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f909/11582724/72b1e65f6efb/41746_2024_1326_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f909/11582724/2c285e5dd7b3/41746_2024_1326_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f909/11582724/09948606eabd/41746_2024_1326_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f909/11582724/72b1e65f6efb/41746_2024_1326_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f909/11582724/2c285e5dd7b3/41746_2024_1326_Fig3_HTML.jpg

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BMJ Health Care Inform. 2023 Aug;30(1). doi: 10.1136/bmjhci-2023-100784.
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Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review.
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BMC Med Res Methodol. 2023 Feb 17;23(1):44. doi: 10.1186/s12874-023-01849-0.
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