ReviewBMJ open quality2026
Comprehensive recommendations for the implementation of artificial intelligence in healthcare: a narrative review on facilitators and barriers.
Review in BMJ open quality, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe integration of artificial intelligence (AI) technologies into clinical practice holds significant promise for enhancing healthcare delivery, yet substantial barriers remain to their widespread adoption. This narrative review aimed, first, to identify key facilitators and barriers to the implementation of AI technologies in patient care, and, second, to introduce a comprehensive list of evidence-based recommendations for successful AI integration in healthcare organisations.
designWe conducted a narrative review across four electronic databases to identify peer-reviewed studies published within the last decade. Following the stepwise selection and review procedure, thematic content analysis was performed. SAMPLE: A total of 26 studies was included.
resultsWe identified 55 dimensions of facilitators or barriers to AI implementation. These were classified according to the Systems Engineering Initiative for Patient Safety work system model. Key dimensions included efficiency, compatibility with local IT infrastructure, stakeholder involvement, transparency and clinician trust. Drawing upon the 25 most frequently reported dimensions of facilitators and barriers, we developed a set of recommendations.
conclusionsThis review consolidates the current literature on implementation challenges of AI in everyday clinical care practice to offer insights for healthcare organisations and professionals to navigate the challenges of AI implementation. Our findings provide a comprehensive overview of the sociotechnical complexities surrounding AI adoption, and our compilation of recommendations can help to guide future efforts in leveraging AI to improve clinical workflows and patient care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.