Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol.
Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol.
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DOI：
10.1136/bmjopen-2022-068373
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发表时间：
2023-02-23
期刊：
影响因子：
2.9
通讯作者：
中科院分区：
文献类型：
--
作者：
人工智能（AI），即机器对人类智能过程的模拟，正越来越多地用于促进临床决策。基于人工智能的临床决策支持（CDS）工具可以提高护理质量和医疗资源的合理使用，并减少医疗保健提供者的倦怠。了解在医疗保健服务中实施基于人工智能的CDS工具的决定因素对于获得这些工具的好处至关重要。这一范围审查的目标是绘制和综合决定因素（障碍和促进因素），以实现基于人工智能的CDS工具在医疗保健。该范围审查将遵循乔安娜布里格斯研究所的方法和首选报告项目的系统审查和范围审查的元分析扩展清单。搜索词将根据每个数据库进行定制，其中包括MEDLINE， Embase， CINAHL， APA PsycINFO和Cochrane图书馆。灰色文献和纳入研究的参考文献也将被检索。搜索将包括从数据库建立到2022年5月10日发表的研究。我们不会通过研究设计或语言来限制搜索。报告决定因素或描述基于人工智能的CDS工具在临床实践或/和医疗保健环境中的实施的研究将被纳入。确定的决定因素（障碍和促进因素）将通过使用理论领域框架综合主题来描述。测量的结果变量将被绘制出来，有效性的测量将使用描述性统计进行总结。由于本研究的所有数据之前都已发表，因此不需要伦理批准。这篇综述的结果将发表在同行评议的期刊上，并在学术会议上发表。重要的是，作为基于人工智能的CDS治疗冠状动脉疾病的实施研究的一部分，这一范围审查的结果将广泛呈现给决策者、卫生系统管理员、医疗保健提供者、患者和家属/照顾者。
Artificial intelligence (AI), the simulation of human intelligence processes by machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based clinical decision support (CDS) tools can improve the quality of care and appropriate use of healthcare resources, and decrease healthcare provider burnout. Understanding the determinants of implementing AI-based CDS tools in healthcare delivery is vital to reap the benefits of these tools. The objective of this scoping review is to map and synthesise determinants (barriers and facilitators) to implementing AI-based CDS tools in healthcare. This scoping review will follow the Joanna Briggs Institute methodology and the Preferred Reporting Items for Systematic reviews and Meta-Analysis extension for Scoping Reviews checklist. The search terms will be tailored to each database, which includes MEDLINE, Embase, CINAHL, APA PsycINFO and the Cochrane Library. Grey literature and references of included studies will also be searched. The search will include studies published from database inception until 10 May 2022. We will not limit searches by study design or language. Studies that either report determinants or describe the implementation of AI-based CDS tools in clinical practice or/and healthcare settings will be included. The identified determinants (barriers and facilitators) will be described by synthesising the themes using the Theoretical Domains Framework. The outcome variables measured will be mapped and the measures of effectiveness will be summarised using descriptive statistics. Ethics approval is not required because all data for this study have been previously published. The findings of this review will be published in a peer-reviewed journal and presented at academic conferences. Importantly, the findings of this scoping review will be widely presented to decision-makers, health system administrators, healthcare providers, and patients and family/caregivers as part of an implementation study of an AI-based CDS for the treatment of coronary artery disease.
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影响因子：
12.7
作者：
Glasgow, RE;Vogt, TM;Boles, SM
通讯作者：
Boles, SM
DOI：
10.1186/s13012-017-0605-9
发表时间：
2017-06-21
期刊：
Implementation science : IS
影响因子：
--
作者：
Atkins L;Francis J;Islam R;O'Connor D;Patey A;Ivers N;Foy R;Duncan EM;Colquhoun H;Grimshaw JM;Lawton R;Michie S
通讯作者：
Michie S
影响因子：
--
作者：
通讯作者：
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DOI：
10.1016/j.jksuci.2011.09.002
发表时间：
2012-01-01
影响因子：
6.9
作者：
Anooj, P. K.
通讯作者：
Anooj, P. K.
影响因子：
15.2
作者：
Abramoff, Michael D.;Lavin, Philip T.;Folk, James C.
通讯作者：
Folk, James C.