Evidence map›Paper›PMID 41109945›Full record

ArticleJournal of advanced nursing2026

Nurse Leadership and Artificial Intelligence Integration in Nursing Workforce Management: A Scoping Review.

Frank Kiwanuka, Simone Stevanin, Younas Ahtisham, Brenda Owusu, Anu Nurmeksela, Tarja Kvist

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advanced nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  8. Review
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.

Frank KiwanukaDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0001-8178-3120
Simone StevaninDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
Younas AhtishamFaculty of Nursing, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada.ORCID https://orcid.org/0000-0003-0157-5319
Brenda OwusuUniversity of Miami School of Nursing & Health Studies, Coral Gables, Florida, USA.ORCID https://orcid.org/0000-0003-3891-7255
Anu NurmekselaDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0003-0474-0404
Tarja KvistDepartment of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0001-5974-8732

Funding

Finnish Nurses Education Foundation
6 · The paper itself

Abstract

aimTo systematically map evidence on the application of AI systems in nursing workforce management, with a targeted focus on the role of nurse leaders.

designA scoping review. DATA SOURCES: A comprehensive literature search was conducted across six databases: CINAHL, IEEE Xplore, MEDLINE/PubMed, PsycINFO, Scopus, and Web of Science. Studies published in English between January 2015 and December 2024 were included. REVIEW

methodsStudies that focused on AI in the context of nursing leadership or workforce management were included, while those examining AI in healthcare but without a specific focus on nursing leadership/management were excluded.

resultsA total of 1014 articles were retrieved, and 12 were included in this review. Eleven articles were published between 2022 and 2024. The findings show that AI systems in nursing management have been applied in several domains, including workforce planning, nursing safety, and staff prediction models. Although studies highlight the positive optimising potential of AI systems, others underscore the ethical implications of AI with respect to nursing leadership and management, particularly regarding discriminatory stereotypes in AI-generated nurse imagery and the critical role of nurse leaders in ethical AI integration in care. Only one study identified important barriers to AI integration, underlining the need for enhanced AI training for nurse managers.

conclusionsFindings suggests that the application of AI systems in nursing leadership/management is in its early phases, with limited engagement of nurses in innovating and implementing AI-enabled systems. A substantial problem related to AI adoption remains-AI integration hinges on addressing the readiness and engagement levels of nurse leaders early on in the process of AI systems' innovation. To promote AI integration, AI competency, trust, and optimisation in healthcare, developing a basic working understanding of AI together with a culture of multidisciplinary AI development teams that include nurses are potentially proactive strategies. REPORTING

methodThis study adhered to the PRISMA-ScR guideline. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Artificial IntelligenceLeadershipNurse AdministratorsAdultHumansartificial intelligencenurse leadersnurse managersnursesnursingnursing leadershipnursing managementnursing workforce

Identifiers

PMID41109945
PMCPMC13176701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.