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CDSS-RM: a clinical decision support system reference model

机译:CDSS-RM:临床决策支持系统参考模型

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摘要

Clinical Decision Support Systems (CDSS) provide aid in clinical decision making and therefore need to take into consideration human, data interactions, and cognitive functions of clinical decision makers. The objective of this paper is to introduce a high level reference model that is intended to be used as a foundation to design successful and contextually relevant CDSS systems. The paper begins by introducing the information flow, use, and sharing characteristics in a hospital setting, and then it outlines the referential context for the model, which are clinical decisions in a hospital setting. Important characteristics of the Clinical decision making process include: (i) Temporally ordered steps, each leading to new data, which in turn becomes useful for a new decision, (ii) Feedback loops where acquisition of new data improves certainty and generates new questions to examine, (iii) Combining different kinds of clinical data for decision making, (iv) Reusing the same data in two or more different decisions, and (v) Clinical decisions requiring human cognitive skills and knowledge, to process the available information. These characteristics form the foundation to delineate important considerations of Clinical Decision Support Systems design. The model includes six interacting and interconnected elements, which formulate the high-level reference model (CDSS-RM). These elements are introduced in the form of questions, as considerations, and are examined with the use of illustrated scenario-based and data-driven examples. The six elements /considerations of the reference model are: (i) Do CDSS mimic the cognitive process of clinical decision makers? (ii) Do CDSS provide recommendations with longitudinal insight? (iii) Is the model performance contextually realistic? (iv) Is the ‘Historical Decision’ bias taken into consideration in CDSS design? (v) Do CDSS integrate established clinical standards and protocols? (vi) Do CDSS utilize unstructured data? The CDSS-RM reference model can contribute to optimized design of modeling methodologies, in order to improve response of health systems to clinical decision-making challenges.
机译:临床决策支持系统(CDSS)可为临床决策提供帮助,因此需要考虑人,数据交互以及临床决策者的认知功能。本文的目的是介绍一个高级参考模型,该模型旨在用作设计成功且与上下文相关的CDSS系统的基础。本文首先介绍了医院环境中的信息流,使用和共享特征,然后概述了该模型的参考上下文,这是医院环境中的临床决策。临床决策过程的重要特征包括:(i)临时排序的步骤,每个步骤都会产生新数据,这反过来又对新决策很有用;(ii)反馈循环,在其中获取新数据可提高确定性并产生新的问题检查(iii)结合不同种类的临床数据进行决策,(iv)在两个或更多个不同的决策中重复使用相同的数据,以及(v)需要人类认知技能和知识的临床决策来处理可用信息。这些特征构成了描述临床决策支持系统设计重要考虑因素的基础。该模型包括六个相互关联的相互联系的元素,它们构成了高级参考模型(CDSS-RM)。这些元素以问题的形式作为考虑因素引入,并通过使用图解说明的基于场景和数据驱动的示例进行检查。参考模型的六个要素/注意事项是:(i)CDSS是否模仿临床决策者的认知过程? (ii)CDSS是否提供具有纵向洞察力的建议? (iii)模型绩效是否符合背景? (iv)CDSS设计中是否考虑了“历史决策”偏见? (v)CDSS是否整合已建立的临床标准和协议? (vi)CDSS是否利用非结构化数据? CDSS-RM参考模型可有助于优化建模方法的设计,以改善卫生系统对临床决策挑战的响应。

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