国医大师周仲瑛辨治重大慢性疾病经验学习决策支持系统的构建与应用

Construction and Application of Decision Support System for Learning Experience of TCM Master Zhou Zhongying in Diagnosing and Treating Major Chronic Diseases

  • 摘要: 在开展国医大师病机辨治重大慢性疾病临床经验传承研究的基础上,基于智能技术构建国医大师周仲瑛教授辨治重大慢性疾病经验学习决策支持系统。首先将周仲瑛教授80年代以来保存的门诊纸质病案电子化,然后对电子数据库进行数据挖掘并形成结构化数据库及知识元模块网络,最后就挖掘出来的结果方案进行名医访谈。该系统在临床中的推广应用,获得了一种原创性传承学习国医大师周仲瑛教授辨治重大慢性疾病经验的新方法,极大地提高了中、青年中医师在应对个性化复杂多变的重大慢性疾病的诊疗思路,突破传统“师带徒”一对一的带教模式,形成了规模化的中医传承教育新模式。

     

    Abstract: Based on the research on the inheritance of clinical experience of traditional Chinese medicine (TCM) master Zhou Zhongying in the diagnosis and treatment of major chronic diseases, a decision support system for learning experience of Zhou Zhongying in diagnosing and treating major chronic diseases was constructed based on intelligent technology. First, the outpatient paper medical records kept by Professor Zhou Zhongying since the 1980s were digitized. Then, data mining was performed on the electronic database to form a structured database and knowledge element module network. Finally, the mined results were used to interview famous doctors. The promotion and application of this system in clinical practice has realized a new method of original inheritance and learning of the experience of Zhou Zhongying in diagnosing and treating major chronic diseases. It has greatly improved the diagnosis and treatment ideas of middle-aged and young Chinese medicine practitioners in dealing with personalized, complex and changeable major chronic diseases, breaking through the traditional one-to-one teaching model of "master-apprentice", and forming a new model of large-scale TCM inheritance education.

     

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