摘要
从中医决策证据知识的研究着手,分析了制约中医诊疗决策知识集成和共享的难点问题,认为诊疗决策信息的数学建模和集成可视化研究是医疗信息平台智能性拓展的主要方向;并结合中医医生的诊疗实践,分别从经典著作的引渡和触发机制、临床指南和诊疗规范的集成可视化、优势疗效报告动态反馈等几个方面,阐明了中医诊疗集成可视化研究的关键问题,为中医决策信息的建模研究提供新思路。在方法学研究层面,探索出一个适合中医原创思维传承的系统理论框架;在技术科学层面,应用从定性到定量的综合集成法对中医诊疗信息、专家经验、病人诊疗资料进行优化集成,打破阻隔于不同区域医院、科研机构、高等院校间的信息壁垒实现真正意义上的诊疗决策信息交互和共享。
The paper analysed the difficulties restricting integration and sharing of decision information in TCM diagnosis and treatment from the research on the knowledge of TCM decision evidences.The authors indicated that the mathematical modeling and integrated visualization research of decision information in TCM diagnosis and treatment is a major direction of intellectual expanding in medical information platform.Some key questions in the integrated visualization research of TCM diagnosis and treatment have been interpreted and a new idea for modeling research of TCM decision information is provided from the aspects of classics extradition and trigger mechanism,integrated visualization of clinical guidelines and criteria,and dynamic feedback of advanced curative effect reports.At the level of methodology,a systematic theory frame suitable to TCM original thinking inheritance should be developed,and at the level of technology and science,TCM information of diagnosis and treatment,experts' experience and patients' materials should be optimized and integrated by using qualitative and quantitative metasynthesis.The information barrier among hospitals,scientific institutes and universities in different regions,therefore,will be broken,and the real interaction and sharing of decision information in diagnosis and treatment will be achieved.
出处
《北京中医药大学学报》
CAS
CSCD
北大核心
2012年第8期509-512,共4页
Journal of Beijing University of Traditional Chinese Medicine
基金
国家自然科学基金资助项目(No.81072897)
中国中医科学院第五批自主选题项目(No.Z0193)
北京中医药大学自主选题项目(No.2011-JYBZZ-XS076)
教育部博士点科研基金项目(No.20110013110001)
北京中医药大学创新团队项目(No.0100603003)
关键词
中医诊疗
决策信息
综合集成法
临床指南
集成可视化
TCM diagnosis and treatment
decision information
metasynthesis
clinical guideline
integrated visualization