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

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-makin...

Full description

Saved in:
Bibliographic Details
Published in:NPJ digital medicine 2024-11, Vol.7 (1), p.332-11, Article 332
Main Authors: Hassan, Nehal, Slight, Robert, Bimpong, Kweku, Bates, David W., Weiand, Daniel, Vellinga, Akke, Morgan, Graham, Slight, Sarah P.
Format: Article
Language:English
Subjects:
692/699
692/700
692/700/478/174
Artificial intelligence
Biomedicine
Biotechnology
Clinical decision making
Decision making
Medical screening
Medicine
Medicine & Public Health
Patients
Prostate cancer
Skin cancer
Systematic review
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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)
ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-024-01326-y