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Interoperability of clinical decision-support systems and electronic health records using archetypes: a case study in clinical trial eligibility

机译:使用原型的临床决策支持系统和电子健康记录的互操作性:临床试验资格的案例研究

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摘要

Clinical decision-support systems (CDSSs) comprise systems as diverse as sophisticated platforms to store and manage clinical data, tools to alert clinicians of problematic situations, or decision-making tools to assist clinicians. Irrespective of the kind of decision-support task CDSSs should be smoothly integrated within the clinical information system, interacting with other components, in particular with the electronic health record (EHR). However, despite decades of developments, most CDSSs lack interoperability features.We deal with the interoperability problem of CDSSs and EHRs by exploiting the dual-model methodology. This methodology distinguishes a reference model and archetypes. A reference model is represented by a stable and small object-oriented model that describes the generic properties of health record information. For their part, archetypes are reusable and domain-specific definitions of clinical concepts in the form of structured and constrained combinations of the entities of the reference model. We rely on archetypes to make the CDSS compatible with EHRs from different institutions. Concretely, we use archetypes for modelling the clinical concepts that the CDSS requires, in conjunction with a series of knowledge-intensive mappings relating the archetypes to the data sources (EHR and/or other archetypes) they depend on.We introduce a comprehensive approach, including a set of tools as well as methodological guidelines, to deal with the interoperability of CDSSs and EHRs based on archetypes. Archetypes are used to build a conceptual layer of the kind of a virtual health record (VHR) over the EHR whose contents need to be integrated and used in the CDSS, associating them with structural and terminology-based semantics. Subsequently, the archetypes are mapped to the EHR by means of an expressive mapping language and specific-purpose tools. We also describe a case study where the tools and methodology have been employed in a CDSS to support patient recruitment in the framework of a clinical trial for colorectal cancer screening.The utilisation of archetypes not only has proved satisfactory to achieve interoperability between CDSSs and EHRs but also offers various advantages, in particular from a data model perspective. First, the VHR/data models we work with are of a high level of abstraction and can incorporate semantic descriptions. Second, archetypes can potentially deal with different EHR architectures, due to their deliberate independence of the reference model. Third, the archetype instances we obtain are valid instances of the underlying reference model, which would enable e.g. feeding back the EHR with data derived by abstraction mechanisms. Lastly, the medical and technical validity of archetype models would be assured, since in principle clinicians should be the main actors in their development.
机译:临床决策支持系统(CDSS)包括各种系统,例如用于存储和管理临床数据的复杂平台,用于向临床医生警告出现问题情况的工具或用于协助临床医生的决策工具。无论决策支持任务的种类如何,CDSS都应平稳地集成在临床信息系统中,并与其他组件(尤其是与电子健康记录(EHR))交互。然而,尽管发展了数十年,但大多数CDSS都缺乏互操作性功能。我们通过利用双模型方法来解决CDSS和EHR的互操作性问题。这种方法区分了参考模型和原型。参考模型由稳定的小型面向对象模型表示,该模型描述了健康记录信息的一般属性。就原型而言,原型是可重用的临床概念的特定领域定义,以参考模型实体的结构化和受约束组合的形式出现。我们依靠原型使CDSS与不同机构的EHR兼容。具体来说,我们使用原型对CDSS所需的临床概念进行建模,并结合一系列将原型与它们所依赖的数据源(EHR和/或其他原型)相关的知识密集型映射。我们引入了一种综合方法,包括一套工具和方法指南,以处理基于原型的CDSS和EHR的互操作性。原型用于在EHR上构建虚拟健康记录(VHR)类型的概念层,其内容需要集成并在CDSS中使用,并将它们与基于结构和基于术语的语义相关联。随后,通过表达性映射语言和专用工具将原型映射到EHR。我们还描述了一个案例研究,其中在CDSS中使用了工具和方法来支持大肠癌筛查的临床试验框架中的患者招募。原型的使用不仅被证明令人满意,可以实现CDSS和EHR之间的互操作性,而且它还具有各种优势,特别是从数据模型的角度来看。首先,我们使用的VHR /数据模型具有较高的抽象度,可以合并语义描述。其次,由于原型具有参考模型的故意独立性,原型可以潜在地处理不同的EHR体系结构。第三,我们获得的原型实例是基础参考模型的有效实例,这将使例如用抽象机制导出的数据反馈给EHR。最后,原型模型的医学和技术有效性将得到保证,因为原则上临床医生应是其发展的主要参与者。

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