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Federated Electronic Health Records Using a Blockchain.

John Chelsom1, Luis Marco-Ruiz2, Øivind Skeidsvoll Solvang2,3

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Summary
This summary is machine-generated.

The Valkyrie project created a secure Federated Electronic Health Record for Norwegian mental health. This system uses encrypted tokens and security domains to provide real-time patient data access, which is destroyed post-session.

Keywords:
BlockchainCare PathwayFederated Electronic Health RecordISO 13606PKIopenEHR

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Area of Science:

  • Health Informatics
  • Information Security
  • Digital Health

Background:

  • Existing electronic health records are often siloed across primary and secondary care.
  • Sharing sensitive mental health data securely between systems presents significant challenges.
  • The need for a unified, real-time view of patient information for clinicians is critical.

Purpose of the Study:

  • To develop and demonstrate a Federated Electronic Health Record (FEHR) system for mental health practitioners in Norway.
  • To design a secure architecture for accessing and aggregating patient data from heterogeneous sources.
  • To ensure patient data privacy and security through encrypted tokens and domain-specific access controls.

Main Methods:

  • The Valkyrie project utilizes an architecture with interlinked Security Domains, each with unique cryptographic keys.
  • Encrypted Tokens are generated for each healthcare event, containing metadata, clinical codes, and locators to source systems.
  • Tokens are processed sequentially through Security Domains, with each domain accessing only necessary information for its function.

Main Results:

  • The Valkyrie system enables real-time retrieval and viewing of patient records from diverse source systems (ISO13606- and openEHR-based).
  • A secure "Valkyrie Session" provides temporary access to aggregated patient data.
  • Data accessed during a session is automatically destroyed upon session termination, enhancing privacy.

Conclusions:

  • The Valkyrie project successfully demonstrates a secure and privacy-preserving method for federated electronic health records in mental healthcare.
  • The architecture ensures that sensitive patient information is accessed securely and only for the duration required.
  • This approach offers a scalable solution for integrating disparate health data sources for improved clinical decision-making.