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Meta-architecture for the interoperability and knowledge management of archetype-based clinical decision support systems

机译:基于原型的临床决策支持系统的互操作性和知识管理的元架构

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Clinical Decision Support Systems (CDSS) are software applications that support clinicians in making health care decisions for individual patients. Such systems have been shown to improve care delivery and reduce costs. However, the lack of integration with Electronic Health Record systems and their high cost of maintenance have been identified as important barriers to their adoption. This paper aims, first, to describe a meta-architecture to seamlessly interoperate non-rule-based CDSS with archetype-based Electronic Health Records and, second, to allow the CDSS to perform self-maintenance tasks over its knowledge and inference engine. To achieve these objectives the Dual-Model Approach, in combination with clinical terminologies have been used to define a system capable to be plugged into any OpenEHR system and maintain its knowledge by using the semantics described through clinical terminologies.
机译:临床决策支持系统(CDSS)是支持临床医生为个别患者制定医疗决策的软件应用程序。已经显示出这样的系统可以改善护理服务并降低成本。但是,人们已经认识到缺乏与电子病历系统的集成以及其高昂的维护成本是采用它们的重要障碍。本文的目的是,首先描述一种元体系结构,以使基于规则的非规则CDSS与基于原型的电子健康记录无缝互操作,其次,其目的是允许CDSS在其知识和推理引擎上执行自我维护任务。为了实现这些目标,已使用双重模型方法结合临床术语来定义一个系统,该系统可插入任何OpenEHR系统中,并使用通过临床术语描述的语义来维护其知识。

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