{"title":"初级保健中的人工智能——全科医生的遗愿清单。","authors":"Veronica Milos Nymberg","doi":"10.1080/13814788.2025.2567462","DOIUrl":null,"url":null,"abstract":"<p><p>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?</p>","PeriodicalId":54380,"journal":{"name":"European Journal of General Practice","volume":"31 1","pages":"2567462"},"PeriodicalIF":2.5000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI in primary care - a general practitioner's bucket list.\",\"authors\":\"Veronica Milos Nymberg\",\"doi\":\"10.1080/13814788.2025.2567462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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?</p>\",\"PeriodicalId\":54380,\"journal\":{\"name\":\"European Journal of General Practice\",\"volume\":\"31 1\",\"pages\":\"2567462\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of General Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/13814788.2025.2567462\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/10/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of General Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/13814788.2025.2567462","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
AI in primary care - a general practitioner's bucket list.
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?
期刊介绍:
The EJGP aims to:
foster scientific research in primary care medicine (family medicine, general practice) in Europe
stimulate education and debate, relevant for the development of primary care medicine in Europe.
Scope
The EJGP publishes original research papers, review articles and clinical case reports on all aspects of primary care medicine (family medicine, general practice), providing new knowledge on medical decision-making, healthcare delivery, medical education, and research methodology.
Areas covered include primary care epidemiology, prevention, diagnosis, pharmacotherapy, non-drug interventions, multi- and comorbidity, palliative care, shared decision making, inter-professional collaboration, quality and safety, training and teaching, and quantitative and qualitative research methods.