利用区块链技术强化慢性病患者信息管理探讨

介绍慢性病患者信息管理面临的困境,分析区块链与慢性病患者信息管理的内在契合性,阐述区块链在强化慢性病信息管理方面的作用,包括提升慢性病管理效率、助力科学管理与决策、规范医疗行为等,探讨区块链在慢性病信息管理中的应用实景。     

基于区块链的电子病历安全共享方案

目的/意义 针对传统医疗信息系统中医疗数据共享困难的问题,提出基于区块链的电子病历安全共享方案。方法/过程 利用区块链去中心化、防篡改、可追溯的特性,搭建数据安全共享平台,建立用户鉴权、病历加密、隐私保护、全程追溯等安全机制,实现电子病历的安全共享。结果/结论 该方案能够防御潜在的网络攻击且满足患者隐私保护与机密性要求,实验验证了方案的可行性与运行效率。     

基于区块链技术的社区老年听力健康管理平台构建研究

详细阐述社区老年听力健康管理平台具体构建,包括内容构建、区块链技术应用、管理流程等方面,介绍平台运行效果及优势,以期为形成连续性、动态化的老年听力障碍预防、治疗和康复医疗服务提供参考。     

区块链技术在医联体建设中的应用探讨

介绍医联体的内涵和区块链技术的特征,阐述区块链技术在医联体中具体应用,包括建立医疗大数据、医疗机构认证等方面,提出应用中面临的问题和挑战以及相应应对措施。     

基于区块链的临床试验研究

分析临床试验存在的主要问题,介绍区块链技术特征与功能,阐述以私有链为基础的区块链技术在临床试验数据公开、知情同意签署、隐私保护、试验过程监管等方面的应用模式,总结时间戳和智能合约技术对提高临床试验效能的具体方式。     

医疗领域中区块链的应用与数据安全问题研究

介绍当前医疗信息化面临的挑战及区块链技术特点,分析区块链技术在医疗领域的应用前景,探讨在医疗领域中应用区块链技术存在的安全问题和解决思路,以构建病患健康档案为例,阐述基于区块链技术的医疗信息系统构建过程。     

分布式家庭医生服务系统与区块链电子病历

对比传统集中式系统、分布式系统优缺点,指出分布式架构可解决传统架构存在的模块之间耦合度高、开发效率低等问题,设计构建分布式家庭医生服务系统,包括系统功能需求、体系架构、功能架构、分布式服务框架、服务调用流程等,同时在该系统中开发区块链电子病历,该系统及电子病历均通过测试。     

Test,Trace, and Put on the Blockchain?: A Viewpoint Evaluating the Use of Decentralized Systems for Algorithmic Contact Tracing to Combat a Global Pandemic

The enormous pressure of the increasing case numbers experienced during the COVID-19 pandemic has given rise to a variety of novel digital systems designed to provide solutions to unprecedented challenges in public health. The field of algorithmic contact tracing, in particular, an area of research that had previously received limited attention, has moved into the spotlight as a crucial factor in containing the pandemic. The use of digital tools to enable more robust and expedited contact tracing and notification, while maintaining privacy and trust in the data generated, is viewed as key to identifying chains of transmission and close contacts, and, consequently, to enabling effective case investigations. Scaling these tools has never been more critical, as global case numbers have exceeded 100 million, as many asymptomatic patients remain undetected, and as COVID-19 variants begin to emerge around the world. In this context, there is increasing attention on blockchain technology as a part of systems for enhanced digital algorithmic contact tracing and reporting. By analyzing the literature that has emerged from this trend, the common characteristics of the designs proposed become apparent. An archetypal system architecture can be derived, taking these characteristics into consideration. However, assessing the utility of this architecture using a recognized evaluation framework shows that the added benefits and features of blockchain technology do not provide significant advantages over conventional centralized systems for algorithmic contact tracing and reporting. From our study, it, therefore, seems that blockchain technology may provide a more significant benefit in other areas of public health beyond contact tracing.     

Research on medical system based on blockchain technology

Medical data sharing, anti-tampering, and leakage prevention have always been severe problems that plagued the pharmaceutical industry. When a patient is referred, he often cannot provide information about previous visits because the medical information of each hospital cannot be shared in most cases, but only through Medical records, test sheets, and other easily lost paper information are used to share some medical information. At the same time, patient medical information is easily leaked, and the medical information provided in the event of a medical dispute cannot guarantee authenticity and impartiality. This article designs a consortium medical blockchain system based on a Possible Byzantine Fault Tolerance algorithm. This system is a medical system that is maintained and shared by multiple nodes and can prevent medical data from being tampered with or leaked. It can be used to solve these medical problems. Compared with the existing medical blockchain system, this system has certain advantages and better applicability.     

人工智能和区块链技术在生物样本库信息化建设的应用展望

近年来,使用人工智能(artificial intelligence,AI)技术对临床大数据及图像进行分析,对疾病做出智能诊断、预测并提出诊疗决策,AI正逐步成为辅助临床及科研的先进技术.生物样本库作为收集临床信息和样本供科研使用的平台,是临床与科研的桥梁,也是临床信息与科研数据的集成平台.影响生物样本库使用效率及合理...