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周祎灵, 石清阳, 陈向阳, 等. 本体在糖尿病临床决策支持系统中的应用[J]. 四川大学学报(医学版), 2023, 54(1): 208-216. DOI: 10.12182/20220860201
引用本文: 周祎灵, 石清阳, 陈向阳, 等. 本体在糖尿病临床决策支持系统中的应用[J]. 四川大学学报(医学版), 2023, 54(1): 208-216. DOI: 10.12182/20220860201
ZHOU Yi-ling, SHI Qing-yang, CHEN Xiang-yang, et al. Ontologies Applied in Clinical Decision Support Systems for Diabetes[J]. Journal of Sichuan University (Medical Sciences), 2023, 54(1): 208-216. DOI: 10.12182/20220860201
Citation: ZHOU Yi-ling, SHI Qing-yang, CHEN Xiang-yang, et al. Ontologies Applied in Clinical Decision Support Systems for Diabetes[J]. Journal of Sichuan University (Medical Sciences), 2023, 54(1): 208-216. DOI: 10.12182/20220860201

本体在糖尿病临床决策支持系统中的应用

Ontologies Applied in Clinical Decision Support Systems for Diabetes

  • 摘要: 基于电子健康系统的临床决策支持系统(clinical decision support system, CDSS)可以辅助基层医生进行临床决策,提高诊疗效率。其中利用本体构建CDSS的医学知识库和患者数据使CDSS的推理过程和决策结果具有可解释性。本文就糖尿病治疗领域的相关本体及基于本体的CDSS的进展与挑战进行综述。首先,阐明我国糖尿病诊疗的现状与挑战为亟需提高医疗服务效率与质量;在介绍本体的相关知识后,概述使用本体构建CDSS的框架、方法及特点;然后综述国内外糖尿病治疗领域的本体及基于本体的CDSS的案例,总结其构建方法及特点;最后提出该领域的展望:将循证医学与本体相融合,构建可信的临床推荐体系是目前CDSS的发展重点。

     

    Abstract: A clinical decision support system (CDSS) integrated with electronic health records helps physicians at the grassroots make patient-appropriate and evidence-based treatment decisions and improves the efficiency of diagnosis and treatment. Furthermore, using ontologies to build up the medical knowledge base and patient data for CDSS enhances the automation and transparency of the reasoning process of CDSS and helps generate interpretable and accurate treatment recommendations. Herein, we reviewed the relevant ontologies in the field of diabetes treatment and the progress and challenges concerning ontology-based CDSSs. Firstly, we elaborated on the current status and challenges of diabetes treatment in China, highlighting the urgent need to improve the efficiency and quality of medical services. Then, we presented background information about ontologies and gave an overview of the framework, methodology, and features of using ontologies to construct CDSS. After that, we reviewed the ontologies and instances of ontology-based CDSS in the field of diabetes treatment in China and abroad and summarized their construction methods and features. Last but not the least, we discussed the future prospects of the field, suggesting that integrating evidence-based medicine with ontologies to build a reliable clinical recommendation system should be the current focus of CDSS development.

     

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