Evidence map›Paper›PMID 40072916›Full record

ArticleJMIR medical informatics2025

The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners.

Natasha Lee Jørgensen, Camilla Hoffmann Merrild, Martin Bach Jensen, Thomas B Moeslund, Kristian Kidholm, Janus Laust Thomsen

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In one paragraph

Article in JMIR medical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Natasha Lee JørgensenCenter for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Selma Lagerløfs vej 249, Aalborg, 9260 Gistrup, Denmark, 45 29807944.ORCID 0000-0002-0481-5560
Camilla Hoffmann MerrildCenter for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Selma Lagerløfs vej 249, Aalborg, 9260 Gistrup, Denmark, 45 29807944.ORCID 0000-0002-2444-3311
Martin Bach JensenCenter for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Selma Lagerløfs vej 249, Aalborg, 9260 Gistrup, Denmark, 45 29807944.ORCID 0000-0003-2162-7390
Thomas B MoeslundVisual Analysis and Perception Lab, Department of Architecture, Design, and Media Technology, Aalborg University, Aalborg, Denmark.ORCID 0000-0001-7584-5209
Kristian KidholmCentre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.ORCID 0000-0003-1037-6514
Janus Laust ThomsenCenter for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Selma Lagerløfs vej 249, Aalborg, 9260 Gistrup, Denmark, 45 29807944.ORCID 0000-0002-0745-6815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) has been deemed revolutionary in medicine; however, no AI tools have been implemented or validated in Danish general practice. General practice in Denmark has an excellent digitization system for developing and using AI. Nevertheless, there is a lack of involvement of general practitioners (GPs) in developing AI. The perspectives of GPs as end users are essential for facilitating the next stage of AI development in general practice. Objective: This study aimed to identify the essential prerequisites that GPs perceive as necessary to realize the potential of AI in Danish general practice. Methods: This study used semistructured interviews and vignettes among GPs to gain perspectives on the potential of AI in general practice. A total of 12 GPs interested in the potential of AI in general practice were interviewed in 2019 and 2021. The interviews were transcribed verbatim and thematic analysis was conducted to identify the dominant themes throughout the data. Results: In the data analysis, four main themes were identified as essential prerequisites for GPs when considering the potential of AI in general practice: (1) AI must begin with the low-hanging fruit, (2) AI must be meaningful in the GP's work, (3) the GP-patient relationship must be maintained despite AI, and (4) AI must be a free, active, and integrated option in the electronic health record (EHR). These 4 themes suggest that the development of AI should initially focus on low-complexity tasks that do not influence patient interactions but facilitate GPs' work in a meaningful manner as an integrated part of the EHR. Examples of this include routine and administrative tasks. Conclusions: The research findings outline the participating GPs' perceptions of the essential prerequisites to consider when exploring the potential applications of AI in primary care settings. We believe that these perceptions of potential prerequisites can support the initial stages of future development and assess the suitability of existing AI tools for general practice.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelDiffusion of InnovationGeneral PracticeGeneral PractitionersAdultAgedDenmarkFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchAIartificial intelligencegeneral practicegeneral practitionersGPsinterviewsprerequisitesqualitative studythematic analysisvignettes

Identifiers

PMID40072916
PMCPMC11921986

What OpenQuestion holds

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Registered trials

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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.