Technological innovation for workload allocation in nursing care management: an integrative review [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]

Background: Technology reduces the nursing workload, improve the quality care processes, patient's safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenge...

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Main Authors: Ana Larraín Sundt, Juan Sebastián Cardenas Ramírez, Maryory Guevara Lozano, Maria Francisca Muñóz, Germán A. Ortiz Basto, Maria Elisa Moreno Fergusson, William J. Guerrero, Maria Alejandra Galiano
Format: Article
Language:English
Published: F1000 Research Ltd 2023-09-01
Series:F1000Research
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Online Access:https://f1000research.com/articles/12-104/v2
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author Ana Larraín Sundt
Juan Sebastián Cardenas Ramírez
Maryory Guevara Lozano
Maria Francisca Muñóz
Germán A. Ortiz Basto
Maria Elisa Moreno Fergusson
William J. Guerrero
Maria Alejandra Galiano
author_facet Ana Larraín Sundt
Juan Sebastián Cardenas Ramírez
Maryory Guevara Lozano
Maria Francisca Muñóz
Germán A. Ortiz Basto
Maria Elisa Moreno Fergusson
William J. Guerrero
Maria Alejandra Galiano
author_sort Ana Larraín Sundt
collection DOAJ
description Background: Technology reduces the nursing workload, improve the quality care processes, patient's safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenges, and barriers of these technologies and considering human factors of nursing management. Methods: To analyse the nursing workload models, the predictors of nursing burnout and outcomes, the new technologies and its acceptance for nursing care management based on the literature. An integrative literature review is performed. Scopus, Scielo, PUBMED, and CINALH databases were searched to perform an integrative review following PRISMA guidelines. Articles published from January 2016 to December 2020 were included. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Two reviewers independently examined the title and abstract for eligibility according to the inclusion and exclusion criteria. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Results: Initially 2,818 articles were potentially relevant. After following the PRISMA Guidelines, 35 studies were included in the review. Four themes appeared: Nursing workload models; Predictors of nursing burnout and outcomes; Information technologies and technological means for management; Technology acceptance. Conclusions: Technology has the potential to improve care management by estimating nurse workload in ICUs and non-critical units, but scientific evidence is more detailed in the former type of services. The literature provides insights about the factors that factors and the barriers that promote the technology acceptance and usability. We did not find studies comparing technologies and no scientific evidence proving improvements in care.
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spelling doaj.art-080269994a634f81b8e8d6679400b8f92024-02-17T01:00:01ZengF1000 Research LtdF1000Research2046-14022023-09-0112156435Technological innovation for workload allocation in nursing care management: an integrative review [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]Ana Larraín Sundt0Juan Sebastián Cardenas Ramírez1Maryory Guevara Lozano2Maria Francisca Muñóz3Germán A. Ortiz Basto4Maria Elisa Moreno Fergusson5William J. Guerrero6https://orcid.org/0000-0002-9807-6593Maria Alejandra Galiano7https://orcid.org/0000-0002-8430-3089Clínica Universidad de los Andes, Santiago de Chile, ChileClínica Universidad de La Sabana, Chía, ColombiaFaculty of Nursing and Rehabilitation, Universidad de La Sabana, Chía, ColombiaClínica Universidad de los Andes, Santiago de Chile, ChileFaculty of Engineering, Universidad de La Sabana, Chía, ColombiaFaculty of Nursing and Rehabilitation, Universidad de La Sabana, Chía, ColombiaFaculty of Engineering, Universidad de La Sabana, Chía, ColombiaClínica Universidad de los Andes, Santiago de Chile, ChileBackground: Technology reduces the nursing workload, improve the quality care processes, patient's safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenges, and barriers of these technologies and considering human factors of nursing management. Methods: To analyse the nursing workload models, the predictors of nursing burnout and outcomes, the new technologies and its acceptance for nursing care management based on the literature. An integrative literature review is performed. Scopus, Scielo, PUBMED, and CINALH databases were searched to perform an integrative review following PRISMA guidelines. Articles published from January 2016 to December 2020 were included. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Two reviewers independently examined the title and abstract for eligibility according to the inclusion and exclusion criteria. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Results: Initially 2,818 articles were potentially relevant. After following the PRISMA Guidelines, 35 studies were included in the review. Four themes appeared: Nursing workload models; Predictors of nursing burnout and outcomes; Information technologies and technological means for management; Technology acceptance. Conclusions: Technology has the potential to improve care management by estimating nurse workload in ICUs and non-critical units, but scientific evidence is more detailed in the former type of services. The literature provides insights about the factors that factors and the barriers that promote the technology acceptance and usability. We did not find studies comparing technologies and no scientific evidence proving improvements in care.https://f1000research.com/articles/12-104/v2Health Information Management Nursing Care Management Workload Personnel Staffing Scheduling Information Systems eng
spellingShingle Ana Larraín Sundt
Juan Sebastián Cardenas Ramírez
Maryory Guevara Lozano
Maria Francisca Muñóz
Germán A. Ortiz Basto
Maria Elisa Moreno Fergusson
William J. Guerrero
Maria Alejandra Galiano
Technological innovation for workload allocation in nursing care management: an integrative review [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]
F1000Research
Health Information Management
Nursing Care Management
Workload
Personnel Staffing
Scheduling Information Systems
eng
title Technological innovation for workload allocation in nursing care management: an integrative review [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]
title_full Technological innovation for workload allocation in nursing care management: an integrative review [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]
title_fullStr Technological innovation for workload allocation in nursing care management: an integrative review [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]
title_full_unstemmed Technological innovation for workload allocation in nursing care management: an integrative review [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]
title_short Technological innovation for workload allocation in nursing care management: an integrative review [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]
title_sort technological innovation for workload allocation in nursing care management an integrative review version 2 peer review 1 approved 2 approved with reservations 1 not approved
topic Health Information Management
Nursing Care Management
Workload
Personnel Staffing
Scheduling Information Systems
eng
url https://f1000research.com/articles/12-104/v2
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