通过语义网络和区块链技术实现个人健康数据的整合与智能
Personal Health Data Integration and Intelligence through Semantic Web and Blockchain Technologies
AI总结：
本文提出利用语义网络和区块链技术，解决医疗数据整合与去中心化存储问题，提升患者日常活动监测的智能化水平。
摘要：
在医疗领域中，各利益相关者之间的数据整合仍是一个挑战，尽管过去十年健康AI取得了显著进展。存在大量
英文摘要：
Data integration among various stakeholders in the healthcare space remains a challenge, despite the impressive advances in Health AI in the past decade. There is a lot of ``messy'' non-standard but structured data that are continually being collected from personal health devices. While efforts such as the Fast Healthcare Interoperability of Resources (FHIR) are underway in standardizing the data representation formats, there is currently a gap in the standard in addressing the health data ecosystem's decentralized nature. As we see explosive growth in chronic diseases such as diabetes, healthcare providers need Observations of Daily Living (ODL) of their patients to treat them effectively. The best way to obtain ODL is through personal health devices. However, such devices are manufactured by various device makers, and they may not follow standards or integrate with existing Electronic Health Record (EHR) systems. It is also imperative that any data sharing that happens will occur in a secure and trustworthy environment, without being too restrictive, i.e., tied to a particular EHR vendor. This paper presents a scalable solution to bridge this gap using a system that implements semantic web and blockchain technologies. Our solution uses FHIR compliant semantic web based data templates in conjunction with smart contracts on the blockchain to provide healthcare providers with insights on their patients' daily activity that cannot be readily determined solely through patient encounters at the clinic.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
