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Research on Secure Sharing Methods for Clinical Data of Traditional Chinese Medicine Based on Secure Multi-Party Computation and Blockchain Technology：Taking Frequency Analysis and Descriptive Statistics As Examples
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Chang HE1, Ran ZHAO1, Wen ZHANG2, Zedan ZHANG3, Xiaoxiao WEN3, Xinyi GU4, Huiying ZHUANG5, Bin WANG1, 2
Chinese Archives of Traditional Chinese Medicine | 2025, 43(4) : 18 - 25
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Chinese Archives of Traditional Chinese Medicine | 2025, 43(4): 18-25
• Digital Traditional Chinese Medicine •
Research on Secure Sharing Methods for Clinical Data of Traditional Chinese Medicine Based on Secure Multi-Party Computation and Blockchain Technology：Taking Frequency Analysis and Descriptive Statistics As Examples
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Chang HE1, Ran ZHAO1, Wen ZHANG2, Zedan ZHANG3, Xiaoxiao WEN3, Xinyi GU4, Huiying ZHUANG5, Bin WANG1, 2
Affiliations
  • 1.Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • 2.Chinese Medicine Science and Technology Cooperation Center, China Academy of Chinese Medicine Sciences, Beijing 100700, China
  • 3.National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medicine Sciences, Beijing 100700, China
  • 4.Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • 5.School of Public Health, Inner Mogolia Minzu University, Tongliao 015099, Inner Mogolia, China
Published: 2025-04-10 doi: 10.13193/j.issn.1673-7717.2025.04.004
Outline
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Blockchain and secure multi-party computation（SMPC）are feasible ways to solve security and privacy issues of data sharing. Blockchain ensures the traceability of computing processes and prevents malicious computing party to modify its upload data. The secure multi-party computation protocols can integrate untrustworthy users as participants to establish safe and trusted cooperation mechanism. The design of traditional Chinese medicine（TCM）clinical data algorithm based on blockchain and secure multi-party computing protocols can integrate the multiparty clinical data，expand the research sample size，solve the problem of“being unwilling，afraid and unable”to share TCM clinical data and promote the development of TCM real-world study. This article creatively integrated frequency analysis and descriptive statistics into SMPC protocols，integrated blockchain technology to enhance the security and transparency of data sharing，so as to design a set of efficient and privacy-protecting distributed computation scheme for TCM clinical data. This article not only analyzed the advantages of this scheme in data security and privacy protection compared with centralized computation，but also designed experiments to prove the accuracy and feasibility of this scheme in calculating real TCM clinical data. The scheme creates a new direction for TCM data sharing，which not only guarantees patient privacy，but also realizes effective aggregation of clinical data，and accelerates the modernization and scientific process of TCM.

TCM clinical data  /  data sharing  /  blockchain  /  secure multi-party computation  /  distributed algorithm
何畅, 赵冉, 张雯, 张泽丹, 温宵宵, 古欣怡, 庄荟瑛, 王斌. 基于安全多方计算和区块链技术的中医药临床数据共享方法研究：以频数分析和描述性统计为例. 中华中医药学刊, 2025 , 43 (4) : 18 -25 . DOI: 10.13193/j.issn.1673-7717.2025.04.004
Chang HE, Ran ZHAO, Wen ZHANG, Zedan ZHANG, Xiaoxiao WEN, Xinyi GU, Huiying ZHUANG, Bin WANG. Research on Secure Sharing Methods for Clinical Data of Traditional Chinese Medicine Based on Secure Multi-Party Computation and Blockchain Technology：Taking Frequency Analysis and Descriptive Statistics As Examples[J]. Chinese Archives of Traditional Chinese Medicine, 2025 , 43 (4) : 18 -25 . DOI: 10.13193/j.issn.1673-7717.2025.04.004
Appendix
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Year 2025 volume 43 Issue 4
36
15
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Article Info
doi: 10.13193/j.issn.1673-7717.2025.04.004
  • Online Date：2026-10-30
  • Published：2025-04-10
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Affiliations
    1.Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
    2.Chinese Medicine Science and Technology Cooperation Center, China Academy of Chinese Medicine Sciences, Beijing 100700, China
    3.National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medicine Sciences, Beijing 100700, China
    4.Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
    5.School of Public Health, Inner Mogolia Minzu University, Tongliao 015099, Inner Mogolia, China
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