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dc.contributor.authorLebcir, Mohamed
dc.contributor.authorHill, Tetiana
dc.contributor.authorAtun, Rifat A.
dc.contributor.authorCubric, Marija
dc.date.accessioned2021-04-23T23:06:53Z
dc.date.available2021-04-23T23:06:53Z
dc.date.issued2021-03-22
dc.identifier.citationLebcir , M , Hill , T , Atun , R A & Cubric , M 2021 , ' Stakeholders’ views on the organisational factors affecting application of Artificial Intelligence in healthcare: a scoping review protocol ' , BMJ Open , vol. 11 , no. 3 , e044074 . https://doi.org/10.1136/bmjopen-2020-044074
dc.identifier.issn2044-6055
dc.identifier.otherORCID: /0000-0003-4234-5771/work/92730858
dc.identifier.urihttp://hdl.handle.net/2299/24306
dc.description© 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/
dc.description.abstractIntroduction: 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-Analysis 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.en
dc.format.extent6
dc.format.extent325013
dc.language.isoeng
dc.relation.ispartofBMJ Open
dc.subjectArtificial intelligence
dc.subjectHealth Services
dc.subjectinnovation adoption
dc.titleStakeholders’ views on the organisational factors affecting application of Artificial Intelligence in healthcare: a scoping review protocolen
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionManaging Complex Change Research Group
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1136/bmjopen-2020-044074
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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