Evidence map›Paper›PMID 39970436›Full record

SynthesisJMIR nursing2025

Examining the Role of AI in Changing the Role of Nurses in Patient Care: Systematic Review.

Inas Al Khatib, Malick Ndiaye

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

Synthesis in JMIR nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Inas Al KhatibDepartment of Industrial Engineering, College of Engineering, American University of Sharjah, Sharjah, United Arab Emirates.ORCID 0009-0008-3382-5005
Malick NdiayeDepartment of Industrial Engineering, College of Engineering, American University of Sharjah, Sharjah, United Arab Emirates.ORCID 0000-0003-4181-074X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis review investigates the relationship between artificial intelligence (AI) use and the role of nurses in patient care. AI exists in health care for clinical decision support, disease management, patient engagement, and operational improvement and will continue to grow in popularity, especially in the nursing field.

objectiveWe aim to examine whether AI integration into nursing practice may have led to a change in the role of nurses in patient care.

methodsTo compile pertinent data on AI and nursing and their relationship, we conducted a thorough systematic review literature analysis using secondary data sources, including academic literature from the Scopus database, industry reports, and government publications. A total of 401 resources were reviewed, and 53 sources were ultimately included in the paper, comprising 50 peer-reviewed journal articles, 1 conference proceeding, and 2 reports. To categorize and find patterns in the data, we used thematic analysis to categorize the systematic literature review findings into 3 primary themes and 9 secondary themes. To demonstrate whether a role change existed or was forecasted to exist, case studies of AI applications and examples were also relied on.

resultsThe research shows that all health care practitioners will be impacted by the revolutionary technology known as AI. Nurses should be at the forefront of this technology and be empowered throughout the implementation process of any of its tools that may accelerate innovation, improve decision-making, automate and speed up processes, and save overall costs in nursing practice.

conclusionsThis study adds to the existing body of knowledge about the applications of AI in nursing and its consequences in changing the role of nurses in patient care. To further investigate the connection between AI and the role of nurses in patient care, future studies can use quantitative techniques based on recruiting nurses who have been involved in AI tool deployment-whether from a design aspect or operational use-and gathering empirical data for that purpose.

Indexed as

Nurse's RoleNursing CareDecision Making, Computer-AssistedRoboticsAIartificial intelligencehealth carenursing practicePRISMAtechnology

Identifiers

PMID39970436
PMCPMC11888071

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.