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Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol

INTRODUCTION: Artificial intelligence (AI) offers great potential for transforming healthcare delivery leading to better patient-outcomes and more efficient care delivery. However, despite these advantages, integration of AI in healthcare has not kept pace with technological advancements. Previous r...

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Autores principales: Lebcir, Reda, Hill, Tetiana, Atun, Rifat, Cubric, Marija
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986948/
https://www.ncbi.nlm.nih.gov/pubmed/33753441
http://dx.doi.org/10.1136/bmjopen-2020-044074
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author Lebcir, Reda
Hill, Tetiana
Atun, Rifat
Cubric, Marija
author_facet Lebcir, Reda
Hill, Tetiana
Atun, Rifat
Cubric, Marija
author_sort Lebcir, Reda
collection PubMed
description INTRODUCTION: Artificial intelligence (AI) offers great potential for transforming healthcare delivery leading to better patient-outcomes and more efficient care delivery. However, despite these advantages, integration of AI in healthcare has not kept pace with technological advancements. Previous research indicates the importance of understanding various organisational factors that shape integration of new technologies in healthcare. Therefore, the aim of this study is to provide an overview of the existing organisational factors influencing adoption of AI in healthcare from the perspectives of different relevant stakeholders. By conducting this review, the various organisational factors that facilitate or hinder AI implementation in healthcare could be identified. METHODS AND ANALYSIS: This study will follow the Joanna Briggs Institute framework, which includes the following stages: (1) defining and aligning objectives and questions, (2) developing and aligning the inclusions criteria with objectives and questions, (3) describing the planned approach to evidence searching and selection, (4) searching for the evidence, (5) selecting the evidence, (6) extracting the evidence, (7) charting the evidence, and summarising the evidence with regard to the objectives and questions. The databases searched will be MEDLINE (Ovid), CINAHL (Plus), PubMed, Cohrane Library, Scopus, MathSciNet, NICE Evidence, OpenGrey, O’REILLY and Social Care Online from January 2000 to June 2021. Search results will be reported based on The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines. The review will adopt diffusion of innovations theory, technology acceptance model and stakeholder theory as guiding conceptual models. Narrative synthesis will be used to integrate the findings. ETHICS AND DISSEMINATION: Ethics approval will not be sought for this scoping review as it only includes information from previously published studies. The results will be disseminated through publication in a peer-reviewed journal. In addition, to ensure its findings reach relevant stakeholders, they will be presented at relevant conferences.
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spelling pubmed-79869482021-03-29 Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol Lebcir, Reda Hill, Tetiana Atun, Rifat Cubric, Marija BMJ Open Health Policy INTRODUCTION: Artificial intelligence (AI) offers great potential for transforming healthcare delivery leading to better patient-outcomes and more efficient care delivery. However, despite these advantages, integration of AI in healthcare has not kept pace with technological advancements. Previous research indicates the importance of understanding various organisational factors that shape integration of new technologies in healthcare. Therefore, the aim of this study is to provide an overview of the existing organisational factors influencing adoption of AI in healthcare from the perspectives of different relevant stakeholders. By conducting this review, the various organisational factors that facilitate or hinder AI implementation in healthcare could be identified. METHODS AND ANALYSIS: This study will follow the Joanna Briggs Institute framework, which includes the following stages: (1) defining and aligning objectives and questions, (2) developing and aligning the inclusions criteria with objectives and questions, (3) describing the planned approach to evidence searching and selection, (4) searching for the evidence, (5) selecting the evidence, (6) extracting the evidence, (7) charting the evidence, and summarising the evidence with regard to the objectives and questions. The databases searched will be MEDLINE (Ovid), CINAHL (Plus), PubMed, Cohrane Library, Scopus, MathSciNet, NICE Evidence, OpenGrey, O’REILLY and Social Care Online from January 2000 to June 2021. Search results will be reported based on The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines. The review will adopt diffusion of innovations theory, technology acceptance model and stakeholder theory as guiding conceptual models. Narrative synthesis will be used to integrate the findings. ETHICS AND DISSEMINATION: Ethics approval will not be sought for this scoping review as it only includes information from previously published studies. The results will be disseminated through publication in a peer-reviewed journal. In addition, to ensure its findings reach relevant stakeholders, they will be presented at relevant conferences. BMJ Publishing Group 2021-03-22 /pmc/articles/PMC7986948/ /pubmed/33753441 http://dx.doi.org/10.1136/bmjopen-2020-044074 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Policy
Lebcir, Reda
Hill, Tetiana
Atun, Rifat
Cubric, Marija
Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol
title Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol
title_full Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol
title_fullStr Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol
title_full_unstemmed Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol
title_short Stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol
title_sort stakeholders’ views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986948/
https://www.ncbi.nlm.nih.gov/pubmed/33753441
http://dx.doi.org/10.1136/bmjopen-2020-044074
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