Meet Open Call 1 Winner FHIR-DIET
FHIR-DIET proposes a De-Identification and Pseudonymization of FHIR (Fast Healthcare Interoperability Resources) data.
The Problem:
Secondary usage of data while meeting legislative requirements of Personal Health Records: de-identification, pseudonymization framework for FHIR.
The Solution:
FHIR-DIET offers added value for the secondary use of data and provides a valuable tool to satisfy current legislation requirements in terms of Personal Health Records. FHIR-DIET proposes a set of default rules and on top of that, the ability to add custom rules. Default rules implement the Safe Harbor de-identification rules specified in the HIPAA Privacy Rule. This is an important starting point to remove Protected Health Information from FHIR data. When such rules are not enough, custom rules allow simple personalization according to the specific privacy-utility tradeoff needs, and to cope with EU regulation (GDPR).
The service will be accessed through three simple APIs documented with OpenAPI: de- identification, pseudonymization and de-pseudonymization. The tool will be provided as a Docker container ready to be integrated into microservice architectures. The implementation is cloud provider independent and the code will be released as open source, with a licence that allows commercial use of the code.
End-user:
Medical Practice Management
Learn more here.
