基于中医优势病种的辨证论治平台

发布时间：2018-06-07 08:12

本文选题：中医临床 + 优势病种　；参考：《时珍国医国药》2017年10期

【摘要】：如何发挥中医学自身方法论优势,融入到信息化时代,分享信息化的成果,提升中医辨证论治的水平和疗效,一直是中医药界关注的重点课题。文章介绍一种以优势病种知识为基础的可量化的中医辨证论治平台,以达到规范辅助中医优势病种辨证诊疗流程,生成具有中医特色电子病历,提高中医诊疗服务质量。平台构造336种优势病种知识库,在其基础上构造一个新的临床辨证论治辅助算法,通过获取病人症状及体质量化码以进行辨证分型,从而自动推荐治法与处方。在win7平台实现了该系统的原型,目前在71家县级中医医院进行应用,统计医院使用情况,中医优势病种诊疗的适应率达85%左右,89.46%以上的电子处方可实现智能辅助辨证,说明本系统的应用可行性。
[Abstract]:How to give full play to the advantages of traditional Chinese medicine (TCM) methodology, integrate into the information age, share the achievements of informatization, and improve the level and efficacy of TCM dialectical treatment, has been the focus of attention in TCM. This paper introduces a quantifiable platform of TCM syndrome differentiation and treatment based on the knowledge of superior diseases, in order to standardize the process of diagnosis and treatment of TCM dominant diseases, to produce electronic medical records with TCM characteristics, and to improve the service quality of TCM diagnosis and treatment. On the basis of constructing 336 kinds of superior disease knowledge base, the platform constructs a new assistant algorithm of clinical syndrome differentiation and treatment, which can automatically recommend treatment methods and prescriptions by obtaining patients' symptoms and physical fitness quantization codes for syndrome differentiation and classification. The prototype of the system was implemented on the win7 platform. At present, 71 county-level Chinese medicine hospitals were applied. According to the usage of the hospital, the adaptability rate of diagnosis and treatment of superior diseases of traditional Chinese medicine reached 85% or more than 89.46% of the electronic prescriptions, which could realize intelligent assistant syndrome differentiation. The feasibility of the application of this system is explained.
【作者单位】：成都中医药大学医学信息工程学院;
【基金】：国家中医药管理局中医药健康服务信息化项目(SATCM-2016-JKFW-XXH05);国家中医药管理局中医药信息标准研究与制定项目(国中医药[2016]1号) 四川省教育厅自然科学一般项目(17ZB0148) 成都中医药大学青年教师创新基金项目(ZRQN1559);成都中医药大学中医药信息化部门专项(MIEC1604)
【分类号】：R2-03;TP311.52

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