Artificial Intelligence in the Organization of Nursing Care: A Scoping Review.
Background: The 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 c...
| Publicado en: | Nursing Reports Vol. 14; no. 4; pp. 2733 - 2746 |
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| Autores principales: | , , , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
MDPI
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=181952013&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 181952013 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2039439X EGNT jtl: Nursing Reports issn: 2039439X maglogo: N pubinfo: dt: Dec2024 vid: 14 iid: 4 pid: 97109 pub: MDPI artinfo: ui: 181952013 181952013 181952013 10.3390/nursrep14040202 181952013 ppf: 2733 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial Intelligence in the Organization of Nursing Care: A Scoping Review. aug: au: Ventura-Silva, João Martins, Maria Manuela Trindade, Letícia de Lima Faria, Ana da Conceição Alves Pereira, Soraia Zuge, Samuel Spiegelberg Ribeiro, Olga Maria Pimenta Lopes affil: Abel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal sug: subj: Artificial Intelligence Utilization Nursing Care Delivery Systems Nursing Care Administration Nurse Administrators Patient Care Methods Human Portugal Scoping Review Medline CINAHL Database PubMed Automation Decision Support Systems, Clinical Prediction Models ab: Background: The 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. Methods: A 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® databases. We used ProQuest—Dissertations and Theses to search gray literature. Results: Ten 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. Conclusions: AI 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. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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