Challenges and Solutions in Deploying Systematized Nomenclature of Medicine-Clinical Terms in the Chinese Healthcare ContextOA
Systematized nomenclature of medicine—clinical terms(SNOMED CT),one of the most comprehensive clinical terminology systems,is pivotal in enhancing healthcare interoperability,clinical data governance,and medical artificial intelligence(AI)development globally.In China,with the rapid growth of large-scale models and an increasing emphasis on transforming the intrinsic value of healthcare data,the absence of a nationally unified clinical terminology standard poses significant challenges.This commentary provides an in-depth analysis of the benefits of SNOMED CT for global healthcare,examines the critical deficiencies in Chinese healthcare big data and AI development due to the lack of standardized terminology,and outlines the technical,administrative,and educational challenges encountered in deploying SNOMED CT within Chinese environments.Special emphasis is laid on the potential of advanced large language models in facilitating the mapping of Chinese clinical data to SNOMED CT.We further discuss the necessity of high-quality data standardization in advancing medical AI in China.Finally,key conclusions and a roadmap for overcoming these challenges are proposed.
Ge Wu;Jiale Nan;Yanmei Chen;Chao Liu;Taotao Fu;Xudong Lu;Yani Chen;Zhirong Zeng;You Wu;Mengchun Gong
School of Biomedical Engineering,Guangdong Medical University,Zhanjiang,ChinaSchool of Biomedical Engineering,Guangdong Medical University,Zhanjiang,ChinaSchool of Biomedical Engineering,Guangdong Medical University,Zhanjiang,ChinaSchool of Biomedical Engineering,Guangdong Medical University,Zhanjiang,ChinaSchool of Biomedical Engineering,Guangdong Medical University,Zhanjiang,ChinaCollege of Biomedical Engineering&Instrumentation,Zhejiang University,Hangzhou,ChinaSchool of Artificial Intelligence,Dalian Maritime University,Dalian,ChinaGMC Lab,School of Biomedical Engineering,Guangdong Medical University,Dongguan,ChinaInstitute for Hospital Management,Tsinghua Medicine,Tsinghua University,Beijing,ChinaSchool of Biomedical Engineering,Guangdong Medical University,Zhanjiang,China GMC Lab,School of Biomedical Engineering,Guangdong Medical University,Dongguan,China Global Health Institute,Xi''an Jiaotong University,Xi''an,China
医药卫生
data standardizationgenerative AIhealthcare big datahealthcare ITlarge language modelsSNOMED CT
《Health Care Science》 2026 (3)
P.180-186,7
National Key Research and Development Program of China,Grant/Award Number:2023YFC2706305。
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