摘要
中医智能化辅助诊疗技术研究取得了良好发展,而相应的转化应用情况却不容乐观,医师对辅助诊疗技术的信任度不足是其重要原因之一。为了增进临床医师对辅助诊疗系统基本原理的理解,提升其信任度进而应用相关辅助诊疗工具。同时,作为完善中医临床辅助诊疗平台搭建的一项工作,课题组在构建平台模式时融入了经调研所得的辨证论治思维逻辑点,拟验证其临床应用。本研究中,对使用过课题组自主研发的中医辅助诊疗平台的青年医师进行预调查,了解以访谈形式交流中医思维逻辑点的可行性,初步获知中医辨治逻辑点的融入对医师信任度的影响,以期助力中医临床辅助诊疗技术的应用。
While the research on intelligent auxiliary diagnosis and treatment technology of traditional Chinese medicine(TCM)has achieved sound development,the situation of corresponding transformation and application is not optimistic.One of the major causes is lacking physician trust in auxiliary diagnosis and treatment technology.The project had investigated the logical points of syndrome differentiation and treatment and integrated them to construct the relevant models for constructing TCM clinical auxiliary diagnosis and treatment platform,which enhanced physicians'understanding of the basic principles of auxiliary diagnosis and treatment system and trust in the application of related auxiliary diagnosis and treatment tools.In this study,a preliminary survey was conducted among young physicians who have used this platform independently developed by the research group to understand the feasibility of exchanging the logic points of TCM thinking in the form of interviews,and to initially learn the impact of the integration of logic points of syndrome differentiation and treatment in TCM on the trust of doctors.It is expected that our work could promote the application of TCM clinical auxiliary diagnosis and treatment technology.
作者
蒋寅
张心怡
赵梦竹
关之玥
魏旭煦
靳英辉
商洪才
赵晨
Yin JIANG;Xin-Yi ZHANG;Meng-Zhu ZHAO;Zhi-Yue GUAN;Xu-Xu WEI;Ying-Hui JIN;Hong-Cai SHANG;Chen ZHAO(Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China;Key Laboratory of Chinese Internal Medicine of Ministry of Education,Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing 100700,China;Center for Evidence-Based and Translational Medicine,Zhongnan Hospital of Wuhan University,Wuhan 430071,China)
出处
《医学新知》
CAS
2022年第6期417-423,共7页
New Medicine
基金
国家自然科学基金项目(81803963)
中国科协“青年人才托举工程”项目(CAST-2020-QNRC1-04)
中国中医科学院优秀青年科技人才培养专项(ZZ14-YQ-038)。
关键词
辅助诊疗
中医药
信任度
人工智能
Aided diagnosis and treatment
Traditional Chinese Medicine
Trust
Artificial intelligence
