AI in primary care - a general practitioner’s bucket list
Nymberg, Veronica Milos LU
(2025)
In European Journal of General Practice
31(1).
- 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... (More)
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?.
(Less)
- author
- Nymberg, Veronica Milos
LU
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Artificial intelligence, evidence, general practice, implementation, large language models
- in
- European Journal of General Practice
- volume
- 31
- issue
- 1
- article number
- 2567462
- publisher
- Taylor & Francis
- external identifiers
-
- pmid:41081347
- scopus:105018528127
- ISSN
- 1381-4788
- DOI
- 10.1080/13814788.2025.2567462
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
- id
- 643b986c-e4dd-4f36-a915-7e44497939ce
- date added to LUP
- 2026-01-27 15:47:48
- date last changed
- 2026-01-27 15:48:58
@article{643b986c-e4dd-4f36-a915-7e44497939ce,
abstract = {{<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>}},
author = {{Nymberg, Veronica Milos}},
issn = {{1381-4788}},
keywords = {{Artificial intelligence; evidence; general practice; implementation; large language models}},
language = {{eng}},
number = {{1}},
publisher = {{Taylor & Francis}},
series = {{European Journal of General Practice}},
title = {{AI in primary care - a general practitioner’s bucket list}},
url = {{http://dx.doi.org/10.1080/13814788.2025.2567462}},
doi = {{10.1080/13814788.2025.2567462}},
volume = {{31}},
year = {{2025}},
}