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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Nursing Reports |
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| Online Access: | https://www.mdpi.com/2039-4403/14/4/202 |
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| _version_ | 1846103377118756864 |
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| author | 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 |
| author_facet | 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 |
| author_sort | João Ventura-Silva |
| collection | DOAJ |
| description | 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<sup>®</sup> 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. |
| format | Article |
| id | doaj-art-a1249beb70f3478f9c1d200a0a5f955c |
| institution | Kabale University |
| issn | 2039-439X 2039-4403 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nursing Reports |
| spelling | doaj-art-a1249beb70f3478f9c1d200a0a5f955c2024-12-27T14:44:06ZengMDPI AGNursing Reports2039-439X2039-44032024-10-011442733274510.3390/nursrep14040202Artificial Intelligence in the Organization of Nursing Care: A Scoping ReviewJoão Ventura-Silva0Maria Manuela Martins1Letícia de Lima Trindade2Ana da Conceição Alves Faria3Soraia Pereira4Samuel Spiegelberg Zuge5Olga Maria Pimenta Lopes Ribeiro6Abel Salazar Institute of Biomedical Sciences, 4050-313 Porto, PortugalAbel Salazar Institute of Biomedical Sciences, 4050-313 Porto, PortugalDepartment of Nursing, Community University of the Chapecó Region (Unochapecó), Chapecó 89809-900, BrazilAbel Salazar Institute of Biomedical Sciences, 4050-313 Porto, PortugalAbel Salazar Institute of Biomedical Sciences, 4050-313 Porto, PortugalDepartment of Nursing, Community University of the Chapecó Region (Unochapecó), Chapecó 89809-900, BrazilCINTESIS@RISE, 4200-450 Porto, PortugalBackground: 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<sup>®</sup> 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.https://www.mdpi.com/2039-4403/14/4/202artificial intelligencenurse administrationnursingpatient care managementorganization and administration |
| spellingShingle | 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 Artificial Intelligence in the Organization of Nursing Care: A Scoping Review Nursing Reports artificial intelligence nurse administration nursing patient care management organization and administration |
| title | Artificial Intelligence in the Organization of Nursing Care: A Scoping Review |
| title_full | Artificial Intelligence in the Organization of Nursing Care: A Scoping Review |
| title_fullStr | Artificial Intelligence in the Organization of Nursing Care: A Scoping Review |
| title_full_unstemmed | Artificial Intelligence in the Organization of Nursing Care: A Scoping Review |
| title_short | Artificial Intelligence in the Organization of Nursing Care: A Scoping Review |
| title_sort | artificial intelligence in the organization of nursing care a scoping review |
| topic | artificial intelligence nurse administration nursing patient care management organization and administration |
| url | https://www.mdpi.com/2039-4403/14/4/202 |
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