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临床决策支持模型和框架:旨在解决实施成功和失败背后的研究问题。

Clinical decision support models and frameworks: Seeking to address research issues underlying implementation successes and failures.

机构信息

Arizona State University, Scottsdale, AZ, USA; Mayo Clinic, Scottsdale, AZ, USA.

Partners Healthcare and Harvard Medical School, Boston, MA, USA.

出版信息

J Biomed Inform. 2018 Feb;78:134-143. doi: 10.1016/j.jbi.2017.12.005. Epub 2017 Dec 12.

Abstract

Computer-based clinical decision support (CDS) has been pursued for more than five decades. Despite notable accomplishments and successes, wide adoption and broad use of CDS in clinical practice has not been achieved. Many issues have been identified as being partially responsible for the relatively slow adoption and lack of impact, including deficiencies in leadership, recognition of purpose, understanding of human interaction and workflow implications of CDS, cognitive models of the role of CDS, and proprietary implementations with limited interoperability and sharing. To address limitations, many approaches have been proposed and evaluated, drawing on theoretical frameworks, as well as management, technical and other disciplines and experiences. It seems clear, because of the multiple perspectives involved, that no single model or framework is adequate to encompass these challenges. This Viewpoint paper seeks to review the various foci of CDS and to identify aspects in which theoretical models and frameworks for CDS have been explored or could be explored and where they might be expected to be most useful.

摘要

计算机临床决策支持(CDS)已经研究了五十多年。尽管取得了显著的成就和成功,但 CDS 在临床实践中的广泛采用和广泛应用尚未实现。许多问题被认为是导致相对缓慢采用和缺乏影响的部分原因,包括领导力不足、对目的的认识、对 CDS 对人机交互和工作流程影响的理解、对 CDS 作用的认知模型,以及具有有限互操作性和共享性的专有实现。为了解决这些局限性,已经提出并评估了许多方法,这些方法借鉴了理论框架以及管理、技术和其他学科和经验。由于涉及到多个视角,似乎很明显,没有单一的模型或框架足以包含这些挑战。本观点文件旨在回顾 CDS 的各个关注点,并确定在哪些方面已经探索或可以探索 CDS 的理论模型和框架,以及它们可能最有用的地方。

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