ReviewCureus2025
A Scoping Review of the Role of Artificial Intelligence in Physician Burnout.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Generative AI Use, Perceived Usefulness, Perceived Risk, and Physician Burnout and Fulfillment Among Chinese Physicians: Mixed Methods Multiregional Study.Journal of medical Internet research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physician burnout is an increasingly prevalent issue affecting many physicians across all specialties and, by proxy, their patient outcomes. One key factor is associated with excessive medical record documentation. Maintaining patient records can be time-consuming, cumbersome, and complicated for some physicians. As such, artificial intelligence (AI) such as ChatGPT or newer programs may provide an effective solution, which may provide reduced human work efforts, including administrative tasks such as documentation. With advances in natural language processing (NLP) tied to AI approaches, the medical field has been open to adopting AI to improve efficiencies tied to documentation and other repetitive clerical duties. This scoping review aimed to examine the impact of AI on physician burnout in the context of medical charting and administrative tasks, excluding its role in diagnosis or patient treatment. Specifically, it aimed to explore existing research to understand the influence of using AI on physician burnout and determine how AI has influenced the experiences of physicians. A thorough search of the peer-reviewed literature, following Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping review (PRISMA-ScR) guidelines, was conducted across three databases (EMBASE, Ovid Medline, and Web of Science) for articles published in English between 2014 and 2024, focusing exclusively on physicians using AI technologies in clinical settings. The initial search yielded 663 articles, which were refined to eight articles after a systemized, rigorous search and selection process. The findings indicate a potential for AI to mitigate physician burnout by decreasing documentation time, improving physician-patient interactions, and enhancing clinical workflow efficiency. Challenges such as overreliance on AI and insufficient familiarity with technology may be tied to misinformation or misuse. These issues highlight areas of further development and research to advance AI technology integration into clinical practice.
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.