Using OWL ontologies for adaptive patient information modelling and preoperative clinical decision support
Using OWL ontologies for adaptive patient information modelling and preoperative clinical decision support
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DOI：
10.1007/s10115-010-0351-7
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发表时间：
2011-11-01
影响因子：
2.7
通讯作者：
Hurrell, Martin
中科院分区：
文献类型：
--
作者：
Bouamrane, Matt-Mouley;Rector, Alan;Hurrell, Martin
我们在这里介绍我们的研究和经验，设计和实施的知识为基础的术前评估决策支持系统。我们讨论通用的设计考虑以及实际的系统实现。我们开发的系统使用语义Web技术，包括模块化本体开发的OWL网络本体语言，OWL Java应用程序编程接口和自动逻辑推理。我们讨论了该系统如何能够根据个性化的医疗背景来定制患者信息收集。在系统架构的核心处使用本体允许有效地管理术前评估领域知识的巨大存储库，包括外科手术的分类、发病率的分类和用于常规术前测试的指南。根据个体患者的医疗背景对领域知识的逻辑推理使得能够实现由风险评估和临床建议（诸如相关术前测试）组成的个性化患者报告。
We here present our research and experience regarding the design and implementation of a knowledge-based preoperative assessment decision support system. We discuss generic design considerations as well as the practical system implementation. We developed the system using semantic web technology, including modular ontologies developed in the OWL web ontology language, the OWL Java application programming interface and an automated logic reasoner. We discuss how the system enables to tailor patient information collection according to personalized medical context. The use of ontologies at the core of the system's architecture permits to efficiently manage a vast repository of preoperative assessment domain knowledge, including classification of surgical procedures, classification of morbidities and guidelines for routine preoperative tests. Logical inference on the domain knowledge according to individual patient's medical context enables personalized patients' reports consisting of a risk assessment and clinical recommendations such as relevant preoperative tests.