ArticleThe European journal of general practice2025
AI in primary care - a general practitioner's bucket list.
Article in The European journal of general practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Adoption of artificial intelligence in primary health care: systematic synthesis of stakeholder perspectives.BMC primary care · 2026Pooled it
- The future is now: Towards intelligent use of Generative AI in general practice.The European journal of general practice · 2026Article
- The role and utility of artificial intelligence and machine learning for diagnostic prediction in general practice.The European journal of general practice · 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While the development and use of Artificial Intelligence (AI) in health care have literally exploded in recent years, general practitioners (GPs) continue to struggle with a fragmented health care system and complex patients with multiple conditions and increasing care needs. An ageing population, task shifting from secondary care to ambulatory services without adequate resource allocation, and policy makers pushing for more accessible primary care are examples of factors driving the demand for AI-tools designed to triage patient complaints, improve workflows, ease clinicians' burden and support clinical decision-making. The paradigm shift towards digital solutions may offer answers, yet evidence often trails behind their implementation. The paper will address current challenges in European primary care today, highlight areas where AI can improve administrative tasks and patient outcomes, and discuss the potential benefits and drawbacks of adopting AI. Will AI tools enhance decision-making or simply create new care demands? Will their implementation truly add value to the holistic patient care model in general 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.