Interoperability of health data using FHIR Mapping Language: transforming HL7 CDA to FHIR with reusable visual components.

Introduction: Ecosystem-centered healthcare innovations, such as digital health platforms, patient-centric records, and mobile health applications, depend on the semantic interoperability of health data. This ensures efficient, patient-focused healthcare delivery in a mobile world where citizens frequently travel for work and leisure. Beyond healthcare delivery, semantic interoperability is crucial for secondary health data use.

TermX: A Game Changer in the Healthcare Interoperability.

The necessity for robust, enduring, and relevant healthcare interoperability is universal across all clinical domains. However, we identified a gap in the availability of open-source, no-cost, high-quality tools that offer multilingual support and an advanced graphical interface. To address this, we developed TermX, an open-source platform to harmonise terminology and support interoperability between healthcare institutions and systems.

Distributed Ledger-Based System to Support Health Data Integrity and Transparency.

This article addresses critical health data integrity by proposing an HF (Hyperledger Fabric)-based architecture with integration into the global health data architecture based on distributed content-addressable storage networks.

A reference architecture for personal health data spaces using decentralized content-addressable storage networks.

Introduction: This paper addresses the dilemmas of accessibility, comprehensiveness, and ownership related to health data. To resolve these dilemmas, we propose and justify a novel, globally scalable reference architecture for a Personal Health Data Space (PHDS). This architecture leverages decentralized content-addressable storage (DCAS) networks, ensuring that the data subject retains complete control and ownership of their personal health data.

Preserving Decentralized EHR-s Integrity.

A blockchain and decentralized storage technology-based architecture is proposed to support the integrity of Electronic Health Records (EHRs).

Digital Health Data Capture with a Controlled Natural Language.

Written text has been the preferred medium for storing health data ever since Hippocrates, and the medical narrative is what enables a humanized clinical relationship. Can't we admit natural language as a user-accepted technology that has stood against the test of time? We have previously presented a controlled natural language as a human-computer interface for semantic data capture already at the point of care. Our computable language was driven by a linguistic interpretation of the conceptual model of the Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT).

Migration from HL7 CDA to FHIR in Infectious Disease System of Estonia.

On the basis of the Estonian National Health System, we propose a universal and reusable methodology for migrating HL7 CDA documents or their components.