Data Supervision Scheme of Medical Centralized Purchase Based on Multi-Chain Collaboration

doi:10.19678/j.issn.1000-3428.0069156

Abstract

Abstract:

The wide application of blockchain in the medical field has gradually brought attention to the effective supervision of diversified, sensitive, and continuously growing medical centralized purchasing data. However, owing to complex business relationships, existing medical centralized purchase data supervision schemes are not efficient in multi-department collaborative supervision processes, and shared supervision data carry the risk of privacy disclosure. Therefore, based on multi-chain collaboration, this paper proposes a supervision scheme for medical centralized purchase data, supporting security sharing. This scheme constructs a multi-chain collaborative supervision framework based on the supervision relay chain, summarizes the supervision elements and supervised data objects for the medical centralized purchase business, and forms a comprehensive view of multi-chain collaborative supervision and cross-chain interaction. Multiple regulatory information flows are described through the multi-chain collaborative regulatory model, and the regulatory elements are described as a structured list of cross-sectoral comprehensive regulatory matters to support multi-sector, multi-link, and cross-chain supervision. During the implementation of multi-chain supervision, a large amount of regulated data generated by the medical centralized purchase business is symmetrically encrypted and stored in an Inter Planetary File System (IPFS), reducing the storage burden of blockchain. Proxy Re-Encryption (PRE) technology is introduced to ensure the secure sharing of symmetric key and metadata between multiple chains, and a searchable encryption algorithm is integrated to support the retrieval of the IPFS file address ciphertext from the chain. By analyzing the medical centralized purchase business, a security analysis of the process flow of data supervision is carried out. Then, the performance of chain codes such as authorization, upload, and query in the collaborative supervision process is evaluated. Experimental results show that the proposed scheme is secure and efficient, is more suitable for the medical field than similar schemes, and meets the requirements of multi-sector and multi-link collaborative supervision and data security sharing.

Key words: blockchain, regulatory mechanisms, multi-chain, Proxy Re-Encryption (PRE), medical data

摘要：

随着区块链在医疗领域的广泛应用, 对于多样、敏感且规模持续增长的医疗集采数据进行有效监管逐渐显露出其重要性。然而, 现有的医疗集采数据监管方案由于业务关联复杂, 导致多部门协同监管过程效能低, 存在共享监管数据隐私泄露风险。因此, 基于多链提出了一种支持安全共享的医疗集采数据监管方案。构建一个基于监管中继链的多链协同监管框架, 针对医疗集采业务概括出监管元素和受监管数据对象, 形成多链协同监管与跨链交互的全面视图; 通过多链协同监管模型展示多种监管信息流, 将监管元素描述为结构化的跨部门综合监管事项清单, 以支持多部门多环节跨链监管; 在多链监管实施过程中, 将医疗集采业务产生的大量受监管数据对称加密后存储于星际文件系统(IPFS)中, 降低区块链存储负担; 引入代理重加密(PRE)技术保障对称密钥与元数据的多链间安全共享, 并结合可搜索加密算法支撑链上IPFS文件地址密文的检索。以医疗集采业务分析为基础, 对监管数据的流转过程进行安全性分析, 对协同监管过程中授权、上传和查询等链码进行性能测试。实验结果表明, 该方案具备安全性与高效性, 相对于其他类似方案更适合医疗领域, 能够满足多部门多环节协同监管和数据安全共享需求。

关键词: 区块链, 监管机制, 多链, 代理重加密, 医疗数据

ZHAO Kai, YAN Junqiao, HU Yuhuan, BI Xuehua, ZHANG Linlin. Data Supervision Scheme of Medical Centralized Purchase Based on Multi-Chain Collaboration[J]. Computer Engineering, 2026, 52(4): 409-423.

赵楷, 闫俊桥, 胡煜环, 毕雪华, 张琳琳. 基于多链协同的医疗集采数据监管方案[J]. 计算机工程, 2026, 52(4): 409-423.

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Figures/Tables 14

Fig.1 Multi-chain collaborative regulatory architecture for medical information

Fig.2 Collaborative regulatory model

Fig.3 Data structures related to regulatory directives

Fig.4 Data structures related to regulatory documents

Fig.5 Implementation procedure of multi-chain collaborative supervision

Fig.6 Time sequence diagram of medical centralized procurement business interaction

Fig.7 Multi-chain collaborative supervision procedure

Fig.8 On chain proxy re-encryption write performance

Fig.9 Encryption information writing performance

Fig.10 Query performance of different transaction sending rates

Fig.11 Query performance for different workloads

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