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Free keywords:
-omics biomarkers
big data
data exchange
diagnostics
digital biomarker
Hospitals, University
Humans
Intensive Care Units
interconnected
interoperability
machine learning
Observational Studies as Topic
personalized health
Prospective Studies
sepsis
SPHN
Switzerland
Abstract:
Sepsis is a highly heterogenous syndrome with variable causes and outcomes. As part of the SPHN/PHRT funding program, we aim to build a highly interoperable, interconnected network for data collection, exchange and analysis of patients on intensive care units in order to predict sepsis onset and mortality earlier. All five University Hospitals, Universities, the Swiss Institute of Bioinformatics and ETH Zurich are involved in this multi-disciplinary project. With two prospective clinical observational studies, we test our infrastructure setup and improve the framework gradually and generate relevant data for research.
