Thoughts on Digital Inheritance of Experiences of Famous and Veteran Physicians of Traditional Chinese Medicine

NI Jingnian; CAO Tianyu; CHEN Yajing; LI Ting; WEI Mingqing; SHI Jing; TIAN Jinzhou

doi:10.13288/j.11-2166/r.2023.17.006

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Thoughts on Digital Inheritance of Experiences of Famous and Veteran Physicians of Traditional Chinese Medicine

更新时间：2023-08-31

- Thoughts on Digital Inheritance of Experiences of Famous and Veteran Physicians of Traditional Chinese Medicine
- Journal of Traditional Chinese Medicine Vol. 64, Issue 17, Pages: 1754-1758(2023)
- 作者机构：
  
  北京中医药大学东直门医院，北京市东城区海运仓5号，100700
- 作者简介：
- 基金信息：
- DOI：10.13288/j.11-2166/r.2023.17.006
  CLC：
- Received：21 December 2022，
  
  Revised：2023-05-13，
  
  Published：02 September 2023
- 稿件说明：
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倪敬年,曹天雨,陈雅静等.名老中医经验数字化传承的思考[J].中医杂志,2023,64(17):1754-1758.

NI Jingnian,CAO Tianyu,CHEN Yajing,et al.Thoughts on Digital Inheritance of Experiences of Famous and Veteran Physicians of Traditional Chinese Medicine[J].Journal of Traditional Chinese Medicine,2023,64(17):1754-1758.
倪敬年,曹天雨,陈雅静等.名老中医经验数字化传承的思考[J].中医杂志,2023,64(17):1754-1758. DOI： 10.13288/j.11-2166/r.2023.17.006.

NI Jingnian,CAO Tianyu,CHEN Yajing,et al.Thoughts on Digital Inheritance of Experiences of Famous and Veteran Physicians of Traditional Chinese Medicine[J].Journal of Traditional Chinese Medicine,2023,64(17):1754-1758. DOI： 10.13288/j.11-2166/r.2023.17.006.

摘要

名老中医经验数字化传承是指采用数字化技术手段对名老中医知识、技能、经验等进行记录、整理、保护、传播、分享和创新，有助于克服传统经验传承方式的低效率问题，实现中医文化传承与发展。数字化传承在可及性、抗佚失性、准确性、创新能力、有效性方面具有一定优势，可以辅助名老中医经验的数字化保存、分析和发掘，是传统跟师学习传承方式的重要补充。数字化传承通常分为构建中医药知识数据库、构建名老中医经验病案资料库、数据挖掘发现规律、借助机器学习辅助临床决策等步骤。名老中医数字化传承不只是经验信息的利用，也是基于经验的创新和产品化过程，可能成为一种新型中医药诊疗服务模式。

Abstract

The experience of famous and veteran physicians in traditional Chinese medicine （TCM） is a supplement to the cognition of industry groups and a high-quality learning resource. Digital inheritance of the experience of famous and veteran TCM physicians refers to the use of digital technology to record， organize， protect， spread， share and innovate the knowledge， skills and experiences of famous and veteran TCM physicians， which helps to overcome the inefficiency of traditional experience inheritance and realize the inheritance and development of TCM culture. Digital inheritance has certain advantages in accessibility， loss resistance， accuracy， innovation ability and effectiveness， which can assist the digital preservation， analysis and excavation of the experience of famous and veteran TCM physicians， and is an important supplement to the traditional way of learning from teachers. Digital inheritance is usually divided into the following steps： building a database of TCM knowledge， building a database of experienced medical records of famous and veteran TCM physicians， discovering laws by data mining， and assisting clinical decision-making with machine learning. The digital inheritance of famous and veteran TCM physicians is not only the use of experience information， but also the process of innovation and productization based on experience， which may become a new service model of TCM diagnosis and treatment.

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references

谷晓红，于河 . 名老中医经验传承与创新的问题及策略［J］. 北京中医药大学学报， 2022 ， 45 （ 9 ）： 919 - 924 .

HUA M ， FAN J ， DONG H ， et al . Integrating traditional Chinese medicine into Chinese medical education reform： issues and challenges ［J］. Int J Med Educ ， 2017 ， 8 ： 126 - 127 . doi： 10.5116/ijme.58e3.c489 http://dx.doi.org/10.5116/ijme.58e3.c489 .

王鹏军，苗阳，刘玲玲 . 浅谈名老中医经验的传承策略［J］. 中医杂志， 2013 ， 54 （ 8 ）： 718 - 720 .

薛晓娟，郑文科，黄明，等 . 中医药领域工程科技发展中的问题与思考［J］. 天津中医药大学学报， 2022 ， 41 （ 2 ）： 137 - 140 .

杨光华，王萍，黄利兴，等 . 名老中医学术传承研究方法探析［J］. 中医杂志， 2014 ， 55 （ 21 ）： 1810 - 1812 .

陆施婷，陈清光，徐佩英，等 . 名老中医经验传承模式研究概述［J］. 中华中医药杂志， 2017 ， 32 （ 8 ）： 3629 - 3631 .

张俊华 . 中医药高质量发展乌镇宣言［J］. 天津中医药， 2022 ， 39 （ 9 ）： 1099 .

于林童，曲文白，余新波，等 . 数据挖掘方法在名老中医用药规律研究中的应用现状［J］. 中医杂志， 2017 ， 58 （ 10 ）： 886 - 888，900 .

任廷革，刘晓峰，高剑波，等 . “中医药基础数据库系统”介绍［J］. 中国中医药信息杂志， 2001 ， 8 （ 11 ）： 90 - 91 .

丁萌萌，田紫煜，陈媛媛，等 . 2002—2021年中医药数据库研究文献可视化分析［J］. 中国中医药信息杂志， 2023 ， 30 （ 8 ）： 63 - 67 .

WANG X ， QU H ， LIU P ， CHENG Y . A self-learning expert system for diagnosis in traditional Chinese medicine ［J］. Expert Syst Appl ， 2004 ， 26 （ 4 ）： 557 - 566 .

KAMEL BOULOS MN ， ZHANG P . Digital twins： from personalised medicine to precision public health ［J］. J Pers Med ， 2021 ， 11 （ 8 ）： 745 .

白春清 . 中医专家系统三十年［J］. 医学信息（上旬刊）， 2011 ， 24 （ 2 ）： 550 - 552 .

吴嘉瑞，唐仕欢，郭位先，等 . 基于数据挖掘的名老中医经验传承研究述评［J］. 中国中药杂志， 2014 ， 39 （ 4 ）： 614 - 617 .

刘小生，朱立成，吴新开，等 . 基于数据仓库技术发掘中医古文献医案哮喘证治规律［J］. 江西中医学院学报， 2012 ， 24 （ 3 ）： 13 - 22 .

SUTTON RT ， PINCOCK D ， BAUMGART DC ， et al . An overview of clinical decision support systems： benefits， risks， and strategies for success ［J］. NPJ Digit Med ， 2020 ， 3 ： 17 . doi： 10.1038/s41746-020-0221-y http://dx.doi.org/10.1038/s41746-020-0221-y .

SHEIKHTAHERI A ， SADOUGHI F ， HASHEMI DEHAGHI Z . Developing and using expert systems and neural networks in medicine： a review on benefits and challenges ［J］. J Med Syst ， 2014 ， 38 （ 9 ）： 110 .

王彦之，张卫 . 浅谈辨证论治之体会［J］. 光明中医， 2019 ， 34 （ 1 ）： 25 - 27 .

谢彬 . 基于大数据的智慧中医诊疗模式应用研究［J］. 电子元器件与信息技术， 2022 ， 6 （ 8 ）： 143 - 146 .

CORONATO A ， NAEEM M ， DE PIETRO G ， et al . Reinforcement learning for intelligent healthcare applications： a survey ［J］. Artif Intell Med ， 2020 ， 109 ： 101964 . doi： 10.1016/j.artmed.2020.101964 http://dx.doi.org/10.1016/j.artmed.2020.101964 .

唐仕欢，申丹，卢朋，等 . 中医传承辅助平台应用评述［J］. 中华中医药杂志， 2015 ， 30 （ 2 ）： 329 - 331 .

BU D ， XIA Y ， ZHANG J ， et al . FangNet： mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm ［J］. Comput Struct Biotechnol J ， 2020 ， 19 ： 62 - 71 . doi： 10.1016/j.csbj. 2020. 11.036 http://dx.doi.org/10.1016/j.csbj.2020.11.036 .

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