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

Abstract

IntroductionArtificial 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 analysisThis 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 disseminationEthics 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.

Current challenges of implementing artificial intelligence in medical imaging

“…However, to drive AI technology into clinical settings, efforts from all stakeholders are inevitable to develop a holistic approach in designing a proper legal AI regulation and policies to safeguard individual empowerment and equity. Recently, Lebcir et al started gathering perspectives from different organisations in affecting AI adoption in healthcare, which is still ongoing [62]. The findings from their review may eventually help to identify organisational factors that may improve AI implementation in healthcare settings.…”

Identifying performance factors of long-term care facilities in the context of the COVID-19 pandemic: a scoping review protocol

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Identifying Performance Factors of Long-Term Care Facilities in the Context of the COVID-19 Pandemic: A Scoping Review Protocol

“…To guide the collection and analysis of data, as well as the synthesis and presentation of results (33), the scoping review will follow the Cadre de référence ministériel d'évaluation de la performance du système public de santé et de services sociaux à des ns de gestion (19) as its primary conceptual framework. This framework identi es and outlines performance factors that can in uence management within the public health care setting, which will be evaluated in the context of LTCFs in this scoping review.…”