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.

翻译：尽管过去十年健康人工智能取得了令人瞩目的进展，但医疗保健领域各利益相关方之间的数据集成仍面临挑战。大量“杂乱”的非标准但结构化的数据正持续从个人健康设备中收集。虽然诸如快速医疗互操作性资源（FHIR）等标准化数据表示格式的工作正在进行，但当前标准在应对健康数据生态系统的去中心化特性方面仍存在缺口。随着糖尿病等慢性疾病的爆发式增长，医疗保健提供者需要患者的日常生活观察数据以进行有效治疗。获取日常生活观察数据的最佳途径是通过个人健康设备。然而，此类设备由不同制造商生产，可能未遵循标准或与现有电子健康记录系统集成。同时，任何数据共享必须在安全可信的环境中进行，且不应过度受限（例如绑定特定电子健康记录供应商）。本文提出一种可扩展的解决方案，通过实现语义网与区块链技术的系统来弥合这一缺口。我们的解决方案采用符合FHIR标准的语义网数据模板，结合区块链上的智能合约，为医疗保健提供者提供其患者日常活动的洞察信息，这些信息无法仅通过诊所就诊轻易获取。