Infrastructure development for FAIR health data and its efficient use for data-driven research
The Swiss Personalized Health Network (SPHN) has established a semantic interoperability framework and various software solutions to enable the pooling of health data from different sources. The standardization of the different data types and thus also the integration of additional information from ontologies and classifications form the basis of the framework. By applying the W3C standards, the relationships between the individual information units are precisely defined and the data is integrated into a knowledge graph that ensures machine readability. This approach allows data from all relevant health areas - from routinely collected care data to imaging data and (gen)omic information - to be represented in such a way that a comprehensive view of the individual and computational analyses across all areas are possible. The implementation of the SPHN interoperability framework in all Swiss university hospitals and the concurrently established infrastructures for secure and privacy-preserving data processing offer an excellent opportunity to advance medical research in Switzerland in accordance with the FAIR principles.
The Swiss Data Science Center (SDSC) plays a crucial role in driving the digital transformation of Swiss healthcare, building upon the SPHN foundation for FAIR data. We bridge research and clinical settings with production-level data flows to catalyze a national Open Research Data ecosystem. Our work on the Low Value Care in Hospitalized Patients (LUCID) National Data Stream project in collaboration with SPHN demonstrates how SDSC ensures LUCID success by setting a standard for modular and reusable infrastructure that serves as a blueprint for national data streams. This work accelerates FAIR data-driven healthcare innovation within Switzerland and responsible data use in the biomedical research community.
The Swiss Personalized Health Network (SPHN) has established a semantic interoperability framework and various software solutions to enable the pooling of health data from different sources. The standardization of the different data types and thus also the integration of additional information from ontologies and classifications form the basis of the framework. By applying the W3C standards, the relationships between the individual information units are precisely defined and the data is integrated into a knowledge graph that ensures machine readability. This approach allows data from all relevant health areas - from routinely collected care data to imaging data and (gen)omic information - to be represented in such a way that a comprehensive view of the individual and computational analyses across all areas are possible. The implementation of the SPHN interoperability framework in all Swiss university hospitals and the concurrently established infrastructures for secure and privacy-preserving data processing offer an excellent opportunity to advance medical research in Switzerland in accordance with the FAIR principles.
The Swiss Data Science Center (SDSC) plays a crucial role in driving the digital transformation of Swiss healthcare, building upon the SPHN foundation for FAIR data. We bridge research and clinical settings with production-level data flows to catalyze a national Open Research Data ecosystem. Our work on the Low Value Care in Hospitalized Patients (LUCID) National Data Stream project in collaboration with SPHN demonstrates how SDSC ensures LUCID success by setting a standard for modular and reusable infrastructure that serves as a blueprint for national data streams. This work accelerates FAIR data-driven healthcare innovation within Switzerland and responsible data use in the biomedical research community.
Speakers
Dr. Oksana Riba Grognuz leads the Open Research Data (ORD) Engagement & Services at the Swiss Data Science Center. Her team develops innovative solutions that support research communities across the ORD lifecycle. To address growing demand, she has spearheaded initiatives in ORD platform development, advancing the adoption of FAIR principles and promoting privacy-centric data governance within the Swiss research landscape. A key example is her work in establishing the first industry-grade national data stream infrastructure in Switzerland for the Low-Value Care in Hospitalized Patients (LUCID) project. This collaborative effort with the SPHN Data Coordination Center serves as a benchmark for other National Data Streams.
Dr. Katrin Crameri, MPH, is the Director of the Personalized Health Informatics (PHI) Group at the SIB Swiss Institute of Bioinformatics. Katrin leads the Data Coordination Center of the Swiss Personalized Health Network (SPHN) and thus is responsible for the technical implementation of key milestones of the SPHN initiative aiming to improve secondary usage of health data in Switzerland.
One major focus of Katrin’s group is on FAIRification of routinely collected and biological health data to make it usable and sharable for research purposes, with a strong attention on data interoperability.
In addition, Katrin is heading the BioMedIT Board and in charge of the establishment and provision of a secure and protected IT infrastructure for transfer, storage, processing and analysis of confidential research data.
Katrin is passionate about improving the framework for biomedical research in Switzerland and is committed to better research for better health.
Join us on April 11th & 12th 2024
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