Evidence map›Paper›PMID 39449439›Full record

ArticleNursing reports (Pavia, Italy)2024

Artificial Intelligence in the Organization of Nursing Care: A Scoping Review.

João Ventura-Silva, Maria Manuela Martins, Letícia de Lima Trindade, Ana da Conceição Alves Faria, Soraia Pereira, Samuel Spiegelberg Zuge, Olga Maria Pimenta Lopes Ribeiro

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

Article in Nursing reports (Pavia, Italy), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Role of AI in Nursing Education and Practice: Umbrella Review.Journal of medical Internet research · 2025
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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

7 authors.

João Ventura-SilvaAbel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal.ORCID 0000-0002-8794-528X
Maria Manuela MartinsAbel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal.
Letícia de Lima TrindadeDepartment of Nursing, Community University of the Chapecó Region (Unochapecó), Chapecó 89809-900, Brazil.
Ana da Conceição Alves FariaAbel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal.ORCID 0000-0002-5838-0080
Soraia PereiraAbel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal.ORCID 0000-0002-8011-378X
Samuel Spiegelberg ZugeDepartment of Nursing, Community University of the Chapecó Region (Unochapecó), Chapecó 89809-900, Brazil.ORCID 0000-0002-0420-9122
Olga Maria Pimenta Lopes RibeiroCINTESIS@RISE, 4200-450 Porto, Portugal.ORCID 0000-0001-9982-9537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of artificial intelligence (AI) in the organization of nursing care has continually evolved, driven by the need for innovative solutions to ensure quality of care. The aim is to synthesize the evidence on the use of artificial intelligence in the organization of nursing care.

methodsA scoping review was carried out based on the Joanna Briggs Institute methodology, following the PRISMA-ScR guidelines, in the MEDLINE, CINAHL Complete, Business Source Ultimate and Scopus

resultsTen studies were evaluated, identifying AI-mediated tools used in the organization of nursing care, and synthesized into three tool models, namely monitoring and prediction, decision support, and interaction and communication technologies. The contributions of using these tools in the organization of nursing care include improvements in operational efficiency, decision support and diagnostic accuracy, advanced interaction and efficient communication, logistical support, workload relief, and ongoing professional development.

conclusionsAI tools such as automated alert systems, predictive algorithms, and decision support transform nursing by increasing efficiency, accuracy, and patient-centered care, improving communication, reducing errors, and enabling earlier interventions with safer and more efficient quality care.

Indexed as

artificial intelligencenurse administrationnursingorganization and administrationpatient care management

Identifiers

PMID39449439
PMCPMC11503362

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.