College of Management, China University of Mining and Technology, Xuzhou, Jiangsu, China.
J Healthc Eng. 2022 Feb 18;2022:4608761. doi: 10.1155/2022/4608761. eCollection 2022.
The study aims to explore the scheduling plan for the emergency of blockchain technology in the medical industry. Network security architecture for medical supplies management based on the Hyperledger Fabric optimized consensus mechanism is established by studying the characteristics of blockchain technology and its data structure composition. The supply chain model for medical device scheduling based on intelligent contracts is selected for the particularity of the nature and shape of medical devices in medical supplies. Ant colony algorithm is used to solve it. Case analysis and verification results show that the improved Hyperledger Fabric consensus mechanism has better security performance. Under the condition of 10,000 transactions, the probability of an attacker with the optimized consensus mechanism successfully controlling the transaction is only 7.2%. The optimized solution is about 50% higher than the original solution in terms of transaction processing speed. Over 1000 transactions, the transaction latency optimization rate is more than doubled. The total order completion time of the medical device scheduling model adopted by the intelligent contract is 26.3% higher than the historical service time of 19 days. The performance of the medical emergency material scheduling program that is added to the supply chain technology is better.
本研究旨在探索区块链技术在医疗行业中的应急调度计划。通过研究区块链技术的特点及其数据结构组成，建立了基于 Hyperledger Fabric 优化共识机制的医疗用品管理网络安全架构。针对医疗用品中医疗器械的性质和形状特殊性，选择基于智能合约的医疗器械调度供应链模型。利用蚁群算法对其进行求解。案例分析和验证结果表明，改进后的 Hyperledger Fabric 共识机制具有更好的安全性能。在 10000 笔交易的条件下，优化共识机制下攻击者成功控制交易的概率仅为 7.2%。在交易处理速度方面，优化后的解决方案比原始解决方案高出约 50%。在超过 1000 笔交易的情况下，交易延迟优化率提高了一倍以上。智能合约采用的医疗器械调度模型的总订单完成时间比 19 天的历史服务时间高出 26.3%。添加到供应链技术中的医疗应急物资调度方案的性能更好。
