A Blockchain-Based Personal Health Knowledge Graph for Secure Integrated Health Data Management
A Blockchain-Based Personal Health Knowledge Graph for Secure Integrated Health Data Management
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DOI：
10.1109/iscc58397.2023.10218032
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发表时间：
2023-07
期刊：
影响因子：
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通讯作者：
Juan Li;Vikram Pandey;Rasha Hendawi
中科院分区：
文献类型：
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作者：
Juan Li;Vikram Pandey;Rasha Hendawi
电子健康记录(EHR)和可穿戴设备的使用越来越多，导致创建了大量可用于研究和患者护理的个人健康数据(PHD)。然而，管理和集成来自不同来源的各种类型的博士学位带来了巨大的挑战，包括数据互操作性、数据隐私和数据安全。为了应对这些挑战，本文提出了一种基于区块链的个人健康知识图，用于集成健康数据管理。该方法利用知识图来组织和集成各种类型的PHD，如电子病历、传感和保险数据，以提供对个人健康状况的全面了解。提出的方法利用区块链来确保数据隐私和安全。通过将PHD存储在去中心化的区块链平台上，患者可以完全控制他们的数据，并可以根据需要授予对特定实体的访问权限，从而增强隐私和安全性。
The increasing use of electronic health records (EHRs) and wearable devices has led to the creation of massive amounts of personal health data (PHD) that can be utilized for research and patient care. However, managing and integrating various types of PHD from different sources poses significant challenges, including data interoperability, data privacy, and data security. To address these challenges, this paper proposes a blockchain-based personal health knowledge graph for integrated health data management. The proposed approach utilizes knowledge graphs to structure and integrate various types of PHD, such as EHR, sensing, and insurance data, to provide a comprehensive view of an individual's health. The proposed approach utilizes blockchain to ensure data privacy and security. By storing PHD on a decentralized blockchain platform, patients have full control over their data and can grant access to specific entities as needed providing enhanced privacy and security.