Personal Health Data Integration and Intelligence through Semantic Web and Blockchain Technologies
- URL: http://arxiv.org/abs/2603.02192v1
- Date: Mon, 02 Mar 2026 18:53:42 GMT
- Title: Personal Health Data Integration and Intelligence through Semantic Web and Blockchain Technologies
- Authors: Oshani Seneviratne, Manan Shukla, Jianjing Lin,
- Abstract summary: Data integration among various stakeholders in the healthcare space remains a challenge.<n>There is a lot of messy'' non-standard but structured data that are continually being collected from personal health devices.<n>This paper presents a solution to bridge this gap using a system that implements semantic web and blockchain technologies.
- Score: 1.029029220360574
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
Related papers
- Health+: Empowering Individuals via Unifying Health Data [3.3422512230660364]
Health+ is a user-centric, multimodal health data management system.<n>Rather than aiming for institutional overhaul, Health+ emphasizes individual agency.<n>At the system level, it tackles the complexity of storing, integrating, and securing heterogeneous health records.
arXiv Detail & Related papers (2026-02-22T19:48:57Z) - The Open Syndrome Definition [61.0983330391914]
We propose the first open, machine-readable format for representing case and syndrome definitions.<n>We introduce the first comprehensive dataset of standardized case definitions and tools to convert existing human-readable definitions into machine-readable formats.<n>The Open Syndrome Definition format enables consistent, scalable use of case definitions across systems, unlocking AI's potential to strengthen public health preparedness and response.
arXiv Detail & Related papers (2025-09-29T19:41:54Z) - hChain 4.0: A Secure and Scalable Permissioned Blockchain for EHR Management in Smart Healthcare [0.0]
hChain 4.0 employs a permissioned blockchain to provide a secure and scalable data infrastructure.<n>The proposed framework enables anonymized health data sharing for medical research by pseudonymizing patient identity.<n> Experimental assessments indicate that the proposed approach achieves higher scalability, cost-effectiveness, and validated security.
arXiv Detail & Related papers (2025-05-20T03:13:48Z) - HELENE: An Open-Source High-Security Privacy-Preserving Blockchain Based System for Automating and Managing Laboratory Health Tests [0.0]
This article presents a sustainable direct-to-consumer health-service open-source platform called HELENE.<n>HELENE is supported by blockchain and by a novel decentralized oracle that protects patient data privacy.<n>Specifically, HELENE enables health test providers to compete through auctions, allowing patients to bid for their services and to keep the control over their health test results.
arXiv Detail & Related papers (2025-02-27T19:28:29Z) - Block MedCare: Advancing healthcare through blockchain integration [0.0]
This paper investigates the integration of blockchain technology in healthcare.
It focuses on its potential to revolutionize Electronic Health Records (EHR) management and data sharing.
We propose a novel system that empowers patients to securely store and manage their medical data.
arXiv Detail & Related papers (2024-10-07T17:54:13Z) - FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection [83.54960238236548]
FEDMEKI not only preserves data privacy but also enhances the capability of medical foundation models.
FEDMEKI allows medical foundation models to learn from a broader spectrum of medical knowledge without direct data exposure.
arXiv Detail & Related papers (2024-08-17T15:18:56Z) - Decentralized Health Intelligence Network (DHIN) [0.0]
Decentralized Health Intelligence Network (DHIN) extends the Decentralized Intelligence Network (DIN) framework to address challenges in healthcare data sovereignty and AI utilization.
Building upon DIN's core principles, DHIN introduces healthcare-specific components to tackle data fragmentation across providers and institutions.
It facilitates effective AI utilization by overcoming barriers to accessing diverse health data sources.
arXiv Detail & Related papers (2024-08-12T15:47:26Z) - Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey [53.691704671844406]
The Internet of things (IoT) can significantly enhance the quality of human life, specifically in healthcare.
The human digital twin (HDT) is proposed as an innovative paradigm that can comprehensively characterize the replication of the individual human body.
HDT is envisioned to empower IoT-healthcare beyond the application of healthcare monitoring by acting as a versatile and vivid human digital testbed.
Recently, generative artificial intelligence (GAI) may be a promising solution because it can leverage advanced AI algorithms to automatically create, manipulate, and modify valuable while diverse data.
arXiv Detail & Related papers (2024-01-22T03:17:41Z) - A Distributed Privacy Preserving Model for the Detection of Alzheimer's Disease [0.0]
This paper introduces a HIPAA compliant framework that can train from distributed data.
I then propose a multimodal vertical federated model for Alzheimer's Disease (AD) detection.
The VFL architecture proposed herein offers a novel distributed architecture, enabling collaborative learning across diverse sources of medical data.
arXiv Detail & Related papers (2023-12-15T22:09:04Z) - Blockchain-empowered Federated Learning for Healthcare Metaverses:
User-centric Incentive Mechanism with Optimal Data Freshness [66.3982155172418]
We first design a user-centric privacy-preserving framework based on decentralized Federated Learning (FL) for healthcare metaverses.
We then utilize Age of Information (AoI) as an effective data-freshness metric and propose an AoI-based contract theory model under Prospect Theory (PT) to motivate sensing data sharing.
arXiv Detail & Related papers (2023-07-29T12:54:03Z) - The Design and Implementation of a National AI Platform for Public
Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
The Italian National Health Service is adopting Artificial Intelligence through its technical agencies.
Such a vast programme requires special care in formalising the knowledge domain.
Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
arXiv Detail & Related papers (2023-04-24T08:00:02Z) - User-Centric Health Data Using Self-sovereign Identities [69.50862982117127]
This article presents the potential use of the issuers Self-Sovereign Identities (SSI) and Distributed Ledger Technologies (DLT) to improve the privacy and control of health data.
The paper lists the prominent use cases of decentralized identities in the health area, and discusses an effective blockchain-based architecture.
arXiv Detail & Related papers (2021-07-26T17:09:52Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.