Health+: Empowering Individuals via Unifying Health Data

πŸ“… 2026-02-22
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πŸ€– AI Summary
This study addresses the persistent fragmentation of personal health data across incompatible healthcare systems, which hinders individuals from effectively managing and integrating their own information. To overcome this challenge, the authors propose a user-centered, multimodal health data management system that shifts away from traditional institution-centric models and empowers individuals with data sovereignty. The system integrates multimodal data ingestion, privacy-preserving storage, and intelligent recommendation technologies to enable non-technical users to easily upload, query, and share health records across modalities. Through an intuitive interface, it enhances user autonomy over personal health data. This work lays the foundation for a connected, interpretable, and user-controllable health information ecosystem, significantly improving individuals’ ability to manage and utilize their health data efficiently.

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πŸ“ Abstract
Managing personal health data is a challenge in today's fragmented and institution-centric healthcare ecosystem. Individuals often lack meaningful control over their medical records, which are scattered across incompatible systems and formats. This vision paper presents Health+, a user-centric, multimodal health data management system that empowers individuals (including those with limited technical expertise) to upload, query, and share their data across modalities (e.g., text, images, reports). Rather than aiming for institutional overhaul, Health+ emphasizes individual agency by providing intuitive interfaces and intelligent recommendations for data access and sharing. At the system level, it tackles the complexity of storing, integrating, and securing heterogeneous health records, ensuring both efficiency and privacy. By unifying multimodal data and prioritizing patients, Health+ lays the foundation for a more connected, interpretable, and user-controlled health information ecosystem.
Problem

Research questions and friction points this paper is trying to address.

health data management
data fragmentation
user-centric healthcare
multimodal health records
patient empowerment
Innovation

Methods, ideas, or system contributions that make the work stand out.

user-centric health data
multimodal data integration
health data interoperability
patient empowerment
privacy-preserving health system
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