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Swiss Personalized Health Network ensures continuity

Swiss Personalized Health Network ensures continuity The development phase of the Swiss Personalized Health Network was successfully completed at the end of 2024. Over the next four years, the network will focus on maintaining and establishing its services and infrastructures. 13.03.2025 Since its launch eight years ago, the Swiss Personalized Health Network (SPHN) has established …

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New group leader of the SIB Personalized Health Informatics Group

New group leader of the SIB Personalized Health Informatics Group Dr. Davide Chiarugi joins SPHN as the new leader of the SIB Personalized Health Informatics Group (PHI), succeeding Katrin Crameri. With a PhD in Computer Science and extensive leadership experience, he brings strong expertise in data management, data-driven research, and coordinating multi-stakeholder projects. 28.02.2025 Dr. …

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Using genomic data in human research – new SPHN Guidance

Trusted framework for genomic data in human research: New SPHN Guidance In addition to offering significant opportunities for research, the secondary use of human genomic data also entails considerable responsibility. The newly published guidance document from the SPHN ELSI advisory group provides valuable practical ethical recommendations, including those on consent, the responsible communication of genetic …

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Why Switzerland needs a Swiss Trusted Research Environment

Research with sensitive data in Switzerland requires a Trusted Research Environment. In our new whitepaper we highlight how BioMedIT balances data access and security, offering insights into collaboration, federation, and trust-building for future-ready research. For groundbreaking health research, researchers need a Trusted Research Environment (TRE). It enables them to work with sensitive personal data while …

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How FHIR and SPHN could match up

In a two day workshop with experts from the Charité, Berlin, and our FAIR data team we explored possibilities to align SPHN concepts with the FHIR standard. SPHN  just started a new collaboration with our colleagues from the Charité hospital in Berlin, SPHN aims to align SPHN and FHIR, exploring how we can develop SPHN-specific …

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SPHN releases the newest version of the SPHN Semantic Interoperability Framework

The SPHN Semantic Interoperability Framework’s 2025.1 release brings targeted improvements, enhancing the current schema and offering broader, more detailed representation of genomic variants. The SPHN Semantic Interoperability Framework provides a common language, guidelines, and tools necessary to gather health data for research in a FAIR manner. This means data is Findable, Accessible, Interoperable, and Reusable. …

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SPHN updates legal template for responsible data sharing

SPHN has updated its legal agreement template. This version builds on experiences from multi-site project negotiations. It addresses key legal requirements, ensuring secure and transparent data sharing between contracting parties. The updated legal agreement template for data sharing and usage provides a comprehensive framework for the obligations of the participating parties. It consists of a …

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Strategic Collaboration between Swiss Digital Pathology Initiative and Swiss Personalized Health Network

SPHN teams up with the Swiss Digital Pathology Initiative. By integrating digital pathology data in the network, the initiatives aim to advance precision medicine in Switzerland. We are pleased to announce a strategic collaboration between the Swiss Digital Pathology Initiative (SDPI) and the Swiss Personalized Health Network (SPHN).  Together, the two initiatives aim to advance …

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Data for Health: Strengthening the community of data-driven health in Switzerland

At the Data for Health symposium, SPHN and PHRT celebrated the achievements from the past eight years. With over 450 participants, the symposium was a great success. Data helps improve patient treatment. The SPHN and PHRT initiatives have laid the groundwork for hospitals to share health data at scale for multi-center studies. At the Data …

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