ArticleBMJ health & care informatics2024
Generative artificial intelligence in primary care: an online survey of UK general practitioners.
Article in BMJ health & care informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
79 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Impact of Digitalization on European General Practice From the Perspective of General Practitioners: Systematic Review.Journal of medical Internet research · 2026Pooled it
- AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN.Pediatric radiology · 2026Guideline
- AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care.British medical bulletin · 2025Pooled it
- Assessing the integration of digitalization and AI in general medicine curricula in German-speaking Europe: a comprehensive survey.Medical education online · 2026Article
- Exploring AI scribes in Norwegian general practice: a qualitative individual interview study.Scandinavian journal of primary health care · 2026Article
- AI-Based Spatial Burn Assessment with MLLMs: Body Region, 3 × 3 Grid Classification and Burn Instance Counting from Photographs and Semantic Segmentation Masks.Biomedicines · 2026Article
- Diagnostic Accuracy of Commercial Large Language Models for Anogenital Skin Lesion Images: A Comparative Study of Gemini, Claude, and ChatGPT.The Journal of infectious diseases · 2026Article
- Health Care Professionals' Perceptions of AI in Clinical Practice: Productivity, Enjoyment, and Pay.JMIR formative research · 2026Article
- Artificial Intelligence in Plastic and Reconstructive Surgery: A Bibliometric Study of the 50 Most-cited Articles.Plastic and reconstructive surgery. Global open · 2026Article
- Perceptions, knowledge and adoption of artificial intelligence in rheumatology: results from a British Society for Rheumatology survey.Rheumatology (Oxford, England) · 2026Article
- Burn Extent and Fitzpatrick Skin Tone Assessment from Clinical Photographs: Systematic and Random Error in Multimodal Large Language Models.Bioengineering (Basel, Switzerland) · 2026Article
- Evidence, use cases, and implementation safeguards of large language models in primary care.Communications medicine · 2026Review
- Disclosure is not documentation: an open science framework for documenting generative AI use in scholarly research and publication workflows.Research integrity and peer review · 2026Article
- Review
- Shadow AI in Swedish Health Care: Qualitative Analysis of Physicians' Free-Text Answers.Journal of medical Internet research · 2026Article
- Exploring the Role of Large Language Models in Primary Care: Qualitative Study of Physicians in the United States and the Netherlands.JMIR medical informatics · 2026Article
- Assessing pediatric gastroenterologists' use of artificial intelligence in clinical and professional tasks.JPGN reports · 2026Article
- Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners.BMJ health & care informatics · 2026Article
- ChatGPT in the diagnosis and management of complex polyneuropathies: comparative analysis with neurologists using real-world cases.NPJ digital medicine · 2026Article
- Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesFollowing the launch of ChatGPT in November 2022, interest in large language model-powered chatbots has soared with increasing focus on the clinical potential of these tools. We sought to measure general practitioners' (GPs) current use of this new generation of chatbots to assist with any aspect of clinical practice in the UK.
methodsAn online survey was distributed to a non-probability sample of GPs registered with the clinician marketing service Doctors.net.uk. The study was launched as a monthly 'omnibus survey' which has a predetermined sample size of 1000 participants.
results531 (53%) respondents were men, 544 (54%) were 46 years or older. 20% (205) reported using generative artificial intelligence (AI) tools in clinical practice; of those who answered affirmatively and were invited to clarify further, 29% (47) reported using these tools to generate documentation after patient appointments and 28% (45) to suggest a differential diagnosis. DISCUSSION: Administered a year after ChatGPT was launched, this is the largest survey we know of conducted into doctors' use of generative AI in clinical practice. Findings suggest that GPs may derive value from these tools, particularly with administrative tasks and to support clinical reasoning.
conclusionDespite a lack of guidance about these tools and unclear work policies, GPs report using generative AI to assist with their job. The medical community will need to find ways to both educate physicians and trainees and guide patients about the safe adoption of these tools.
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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.