Evidence map›Paper›PMID 40868588›Full record

ArticleHealthcare (Basel, Switzerland)2025

Partners in Practice: Primary Care Physicians Define the Role of Artificial Intelligence.

Dikla Agur Cohen, Anthony David Heymann, Inbar Levkovich

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Atencion primaria · 2026
    Pooled it
  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.

Dikla Agur CohenDepartment of Family Medicine, The Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 3200003, Israel.ORCID 0000-0002-9987-4781
Anthony David HeymannDepartment of Medical Education, Faculty of Medicine and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
Inbar LevkovichFaculty of Education, Tel-Hai College, Upper Galilee 1220800, Israel.ORCID 0000-0003-1582-3889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) shows strong potential to transform primary care by streamlining workflows, improving diagnostics, and enhancing patient outcomes. However, integration faces barriers, including PCPs' concerns about workflow disruptions, reliability, and loss of human connection. This study explored PCPs' perspectives and challenges around AI integration in primary care to inform the development of practical, human-centered tools.

methodThis qualitative study included four focus groups (n = 40), comprising PCPs, residents, and AI developers, in December 2024. Sessions were recorded, transcribed, and analyzed using thematic analysis. Three main themes emerged: (1)

resultKey findings emphasized the need for incremental AI adoption, starting with administrative tasks and progressing to clinical decision support, with systems acting as "silent partners" to enhance rather than replace human judgment. PCPs see AI as a promising way to reduce administrative burden and improve care quality but stress the need for human-centered design that protects the doctor-patient relationship.

conclusionSuccessful integration requires addressing workflow compatibility, ethical concerns, and preserving clinical autonomy through collaborative development.

Indexed as

artificial intelligence (AI)healthcare technologyhuman-centered AIneeds assessmentprimary carequalitative research

Identifiers

PMID40868588
PMCPMC12386139

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.