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

机译:利益相关者对影响医疗保健人工智能应用的组织因素的看法:范围审查议定书

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摘要

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.
机译:简介人工智能(AI)提供了改变医疗保健交付的巨大潜力,导致更好的患者结果和更高效的护理。然而,尽管存在这些优势,但AI在医疗保健中的整合并未与技术进步保持同步。以前的研究表明了解在医疗保健中塑造新技术的各种组织因素的重要性。因此,本研究的目的是概述,影响来自不同相关利益攸关方的角度的医疗保健中采用AI的现有组织因素。通过进行这一审查,可以识别促进或阻碍医疗保健方面的各种组织因素。方法和分析本研究将遵循Joanna Briggs框架,其中包括以下阶段:(1)定义和调整目标和问题, (2)制定和将夹杂制标准与目标和问题进行调整,(3)描述有计划的证据搜索和选择的方法,(4)寻找证据,(5)选择证据,(6)提取证据,( 7)绘制证据,并总结了关于目标和问题的证据。搜索的数据库将是Medline(ovid),Cinahl(加),PubMed,Cohrane图书馆,Scopus,Mathscinet,不错的证据,OpenGrey,O'Reilly从2000年1月至6月2021年的在线社会关怀。搜索结果将根据优选的报告项目进行系统评价和Meta-Analyses exitions进行范围评论指南线条。该审查将采用创新理论,技术验收模型和利益相关者理论的扩散,作为指导概念模型。叙事综合将用于整合调查结果。对于这一裁视审查,不会寻求言论批准,因为它只包括来自之前公布的研究的信息。结果将通过在同行评审期刊中的出版物传播。此外,为了确保其调查结果达到相关的利益攸关方,他们将在相关会议上呈现。

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