Evidence map›Paper›PMID 41588866›Full record

SynthesisJournal of advanced nursing2026

Healthcare Professionals' Perceptions of Artificial Intelligence in Healthcare-A Systematic Review of Qualitative Studies.

Huotari Sini, Mikkonen Kristina, Jarva Erika, Suonnansalo Petra, Kaikkonen Assi, Lee Jay Jung Jae, Oikarinen Anne

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of advanced nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Huotari SiniResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0009-0009-0275-6358
Mikkonen KristinaResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0000-0002-4355-3428
Jarva ErikaResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0000-0001-6860-4319
Suonnansalo PetraResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0009-0004-5786-9177
Kaikkonen AssiResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0009-0000-3612-7722
Lee Jay Jung JaeSchool of Nursing, The University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0001-9704-2116
Oikarinen AnneResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0000-0002-3509-8912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify the experiences and perceptions of healthcare professionals on artificial intelligence in healthcare.

designSystematic literature review of qualitative studies and meta-aggregation. DATA SOURCES: CINAHL, PubMed, Scopus, Medic and ProQuest were systematically searched on December 9, 2024.

resultsTwenty-six studies were included in the review, of which 25 were analysed using meta-aggregation, and the results of one study were reported narratively. A total of 185 findings were identified from the included studies that addressed the research question. These findings were aggregated into 33 categories and then into five synthesised findings as follows: (1) Perceived benefits of AI in healthcare; (2) Perceived impact of AI on professional roles and workforce dynamics; (3) Perceived impacts of AI in communication and interaction; (4) Perceived challenges of AI related to technical, financial and systemic factors; (5) Perceived ethical, cultural and regulatory considerations regarding the use of AI.

conclusionWhile AI holds significant potential to enhance efficiency and improve patient outcomes, it is essential to address the concerns raised by healthcare professionals regarding workforce dynamics, communication and ethical considerations. IMPLICATIONS FOR THE PROFESSION: The results can inform and support the implementation of AI in healthcare and the development of AI-related education and training to meet the demands of future healthcare work. REPORTING

methodThe review was conducted and reported in accordance with the PRISMA guidelines. PATIENT OR PUBLIC CONTRIBUTION: None.

trial registrationPROSPERO (CRD1073200).

Indexed as

Artificial IntelligenceAttitude of Health PersonnelDelivery of Health CareHealth PersonnelAdultFemaleHumansMaleQualitative Researchartificial intelligencehealthcare professionalsmeta‐aggregationperceptionsqualitative literature reviewsystematic review

Identifiers

PMID41588866
PMCPMC13460964

What Socratic holds

Textmetadata
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 Socratic graph.