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On Implementing Clinical Decision Support: Achieving Scalability and Maintainability by Combining Business Rules and Ontologies.

机译:关于实施临床决策支持:通过结合业务规则和本体实现可扩展性和可维护性。

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摘要

We present an approach and architecture for implementing scalable and maintainable clinical decision support at the Partners HealthCare System. The architecture integrates a >business rules engine that executes declarative if-then rules stored in a >rule-base referencing objects and methods in a >business object model. The rules engine executes object methods by invoking services implemented on the >clinical data repository. Specialized inferences that support classification of data and instances into classes are identified and an approach to implement these inferences using an OWL based >ontology engine is presented. Alternative representations of these specialized inferences as if-then rules or OWL axioms are explored and their impact on the scalability and maintenance of the system is presented. Architectural alternatives for integration of clinical decision support functionality with the invoking application and the underlying clinical data repository; and their associated trade-offs are discussed and presented.
机译:我们提出了一种在Partners HealthCare System上实施可扩展且可维护的临床决策支持的方法和体系结构。该架构集成了一个>业务规则引擎,该引擎执行声明性if-then规则,该规则存储在>规则中,该规则引用了>业务对象模型中的对象和方法。 。规则引擎通过调用在>临床数据存储库上实现的服务来执行对象方法。确定了支持将数据和实例分类到类的专门推理,并提出了使用基于OWL的>本体引擎来实现这些推理的方法。探索了这些专门推论的替代表示形式,如if-then规则或OWL公理,并提出了它们对系统可伸缩性和维护的影响。用于将临床决策支持功能与调用的应用程序和基础临床数据存储库集成的体系结构替代方案;并讨论了它们的权衡取舍。

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