Evidence map›Paper›PMID 42235527›Full record

ArticleScandinavian journal of primary health care2026

Exploring AI scribes in Norwegian general practice: a qualitative individual interview study.

Damoun Nassehi, Øystein Hetlevik, Jørgen Breivold

Abstract read
In one paragraph

Article in Scandinavian journal of primary health care, 2026. 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

3 authors.

Damoun NassehiDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.ORCID 0000-0002-9277-6847
Øystein HetlevikDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.ORCID 0000-0001-8912-3426
Jørgen BreivoldDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.ORCID 0000-0002-5905-3866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore how Artificial intelligence (AI) scribes influence Norwegian general practitioners' (GPs) clinical practice, focusing on their impact on workflow, consultation routines, and professional responsibility, and to explore GPs reflections on AI technology and its alignment with their needs, expectations and ethical considerations in primary care.

designQualitative individual interview study using systematic text condensation (STC).

settingGeneral practice in Norway. SUBJECTS: Ten GPs with more than 3 months' regular use of an AI scribe. Participants were self-selected early adopters.

resultsThe GPs in our study reported that using AI scribe markedly saved time, while reducing stress levels. The technology improved consultation structure and patient focus, though some GPs missed their personal writing style and found the language overly standardised. The tool sometime struggled capturing nuances during complex discussions. Occasional transcription errors, and hallucinations highlighted the need for careful review. GPs expressed concern regarding data privacy and regulatory uncertainty but maintained a stance of critical trust. Overall, the AI scribe was seen as a major innovation that enhances efficiency and patient care, provided its outputs remain under vigilant control.

conclusionAccording to the respondents, AI scribes influence GPs daily routines and professional identity by enhancing documentation efficiency, reducing workload and enabling GPs to focus more on patient care. However, they may introduce new areas for error and subtle shifts in clinical practice, such as reliance on AI-generated text. Responsible integration requires collaborations on guidelines, training and further research to balance efficiency gains with patient centred care and address long-term impacts.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelDocumentationGeneral PracticeGeneral PractitionersFemaleHumansInterviews as TopicMaleNorwayPrimary Health CareQualitative ResearchWorkloadAI scribeartificial intelligenceclinical documentationGeneral practicegenerative AIlarge language modelprimary careprofessional identity

Identifiers

PMID42235527
PMCPMC13237796

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LicenceCC BY-NC
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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.