Abstract: The Swiss Personalized Health Network (SPHN) has created a national framework for standardizing the semantic representation of health data, in alignment with the FAIR principles. This framework is implemented in all Swiss university hospitals and utilizes a universal exchange language built upon international standard vocabularies, creating atomic building blocks of knowledge that can be applied in various contexts. The syntax linking these semantic building blocks is conveyed through RDF, allowing for the representation of both terminologies and data as linked data. This enables researchers to easily combine subsets of data from different sources and access clinical knowledge within their research.
Speaker: Dr. sc. ETH Sabine Österle is the lead of the Data Interoperability team in the Personalized Health Informatics (PHI) group of the SIB Swiss Institute of Bioinformatics. Sabine received her BSc and MSc degrees from ETH Zurich in Interdisciplinary Science in 2010 and 2012, respectively. She then pursued a PhD degree in Synthetic Biology at the Department of Biosystems Science and Engineering of ETH Zurich, after which she decided to focus on personalized health. In her current role at SIB, she oversees and manages the PHI portfolio and related activities towards achieving the interoperability goals of the SPHN.
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