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An Agent-based Knowledge Management Framework for Electronic Health Record Interoperability

机译:电子病历互操作性的基于代理的知识管理框架

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—In recent years, the dramatic increase in the use of information technology for healthcare has resulted in much innovative research on eHealth applications. But it has been widely acknowledged that unlocking the real value in clinical records is highly dependent upon health information standards that allow interoperability between various clinical systems, supporting the easy exchange of records among stakeholders in the patients circle of care. This paper proposes a software agent based virtual integration framework to integrate multiple electronic health record (EHR) systems from distributed (possibly heterogeneous) databases, featuring three properties. First, a loose coupling between EHR formats and software engineering of the application allows the agent based framework to be flexible for on-line reconfiguration and deployment. Second, the framework is designed with a knowledge base that supports both medical practitioners and consumers, by managing healthcare information at a higher knowledge-based level. Third, the framework integrates distributed databases as well as adaptive user interfaces to support personalized health information systems, which can be used by a range of users with differing requirements. We believe that this agent-based technical framework also demonstrates a new direction for handling other eHealth interoperability issues such as the development of personal health record systems, as well as providing a technical foundation for developing clinical decision support systems.
机译:—近年来,信息技术在医疗保健中的使用急剧增加,导致对eHealth应用程序进行了许多创新的研究。但是,人们普遍认为,释放临床记录的真正价值在很大程度上取决于健康信息标准,该标准允许各种临床系统之间实现互操作性,从而支持在患者护理界的利益相关者之间轻松交换记录。本文提出了一种基于软件代理的虚拟集成框架,该框架可从分布式(可能是异构的)数据库中集成具有三个属性的多个电子健康记录(EHR)系统。首先,EHR格式与应用程序的软件工程之间的松散耦合使基于代理的框架可以灵活地进行在线重新配置和部署。其次,该框架设计了一个知识库,该知识库通过在更高的知识级别上管理医疗保健信息来支持从业者和消费者。第三,该框架集成了分布式数据库和自适应用户界面,以支持个性化的健康信息系统,可以由具有不同要求的一系列用户使用。我们认为,这种基于代理的技术框架还为处理其他eHealth互操作性问题(例如个人健康记录系统的开发)提供了新的方向,并为开发临床决策支持系统提供了技术基础。

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