Evidence map›Paper›PMID 40225652›Full record

SynthesisJournal of nursing management2023

Applications of Artificial Intelligence in Nursing Care: A Systematic Review.

Adrian Martinez-Ortigosa, Alejandro Martinez-Granados, Esther Gil-Hernández, Miguel Rodriguez-Arrastia, Carmen Ropero-Padilla, Pablo Roman

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of nursing management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 7 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

49 citing papers in PubMed, 7 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

6 authors.

Adrian Martinez-OrtigosaEmergency Department, San Cecilio University Hospital, Granada, Spain.ORCID 0000-0001-9624-0081
Alejandro Martinez-GranadosFaculty of Health Sciences, Department of Nursing Science, Physiotherapy and Medicine, University of Almeria, Almeria, Spain.ORCID 0000-0002-6876-5312
Esther Gil-HernándezTorrecárdenas University Hospital, Andalucia, Spain.ORCID 0000-0002-0585-6284
Miguel Rodriguez-ArrastiaFaculty of Health Sciences, Department of Nursing Science, Physiotherapy and Medicine, University of Almeria, Almeria, Spain.ORCID 0000-0001-9430-4272
Carmen Ropero-PadillaFaculty of Health Sciences, Department of Nursing Science, Physiotherapy and Medicine, University of Almeria, Almeria, Spain.ORCID 0000-0001-5883-767X
Pablo RomanFaculty of Health Sciences, Department of Nursing Science, Physiotherapy and Medicine, University of Almeria, Almeria, Spain.ORCID 0000-0002-5966-0498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To synthesise the available evidence on the applicability of artificial intelligence in nursing care. Background: Artificial intelligence involves the replication of human cognitive abilities in machines, allowing to perform tasks that conventionally necessitate human cognition. However, its application in health sciences is a recent one, and its use is currently limited to supporting the diagnosis and prognosis of hospitalised patients, among others. Conclusion: Artificial intelligence-based systems demonstrated increased autonomy of patients and professionals in care processes such as wound management through guided instructions, improved workflows, and efficiency in terms of time, materials, and human resources.

Indexed as

Artificial IntelligenceNursing CareHumans

Identifiers

PMID40225652
PMCPMC11919018

What OpenQuestion holds

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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.