{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:56:38Z","timestamp":1777499798082,"version":"3.51.4"},"reference-count":54,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T00:00:00Z","timestamp":1727827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nursing Reports"],"abstract":"<jats:p>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\u00ae databases. We used ProQuest\u2014Dissertations 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.<\/jats:p>","DOI":"10.3390\/nursrep14040202","type":"journal-article","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T11:29:24Z","timestamp":1727868564000},"page":"2733-2745","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Artificial Intelligence in the Organization of Nursing Care: A Scoping Review"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8794-528X","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Ventura-Silva","sequence":"first","affiliation":[{"name":"Abel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal"},{"name":"Northern Health School of the Portuguese Red Cross, 3720-126 Oliveira de Azem\u00e9is, Portugal"},{"name":"CINTESIS@RISE, 4200-450 Porto, Portugal"}]},{"given":"Maria Manuela","family":"Martins","sequence":"additional","affiliation":[{"name":"Abel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal"}]},{"given":"Let\u00edcia de Lima","family":"Trindade","sequence":"additional","affiliation":[{"name":"Department of Nursing, Community University of the Chapec\u00f3 Region (Unochapec\u00f3), Chapec\u00f3 89809-900, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5838-0080","authenticated-orcid":false,"given":"Ana da Concei\u00e7\u00e3o Alves","family":"Faria","sequence":"additional","affiliation":[{"name":"Abel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal"},{"name":"CINTESIS@RISE, 4200-450 Porto, Portugal"},{"name":"Grouping of Health Centers Ave\/Famalic\u00e3o, 4760-412 Vila Nova de Famalic\u00e3o, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8011-378X","authenticated-orcid":false,"given":"Soraia","family":"Pereira","sequence":"additional","affiliation":[{"name":"Abel Salazar Institute of Biomedical Sciences, 4050-313 Porto, Portugal"},{"name":"Northern Health School of the Portuguese Red Cross, 3720-126 Oliveira de Azem\u00e9is, Portugal"},{"name":"CINTESIS@RISE, 4200-450 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0420-9122","authenticated-orcid":false,"given":"Samuel Spiegelberg","family":"Zuge","sequence":"additional","affiliation":[{"name":"Department of Nursing, Community University of the Chapec\u00f3 Region (Unochapec\u00f3), Chapec\u00f3 89809-900, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9982-9537","authenticated-orcid":false,"given":"Olga Maria Pimenta Lopes","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"CINTESIS@RISE, 4200-450 Porto, Portugal"},{"name":"Nursing School of Porto (ESEP), 4200-072 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"627","DOI":"10.3390\/nursrep14010048","article-title":"Artificial Intelligence in Wound Care Education: Protocol for a Scoping Review","volume":"14","author":"Manuel","year":"2024","journal-title":"Nurs. 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