SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research.

Details

Serval ID
serval:BIB_DBFE87C40559
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research.
Journal
Studies in health technology and informatics
Author(s)
Egli A., Battegay M., Büchler A.C., Bühlmann P., Calandra T., Eckert P., Furrer H., Greub G., Jakob S.M., Kaiser L., Leib S.L., Marsch S., Meinshausen N., Pagani J.L., Pugin J., Rätsch G., Schrenzel J., Schüpbach R., Siegemund M., Zamboni N., Zbinden R., Zinkernagel A., Borgwardt K.
ISSN
1879-8365 (Electronic)
ISSN-L
0926-9630
Publication state
Published
Issued date
16/06/2020
Peer-reviewed
Oui
Volume
270
Pages
1163-1167
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
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.
Keywords
-omics biomarkers, SPHN, big data, data exchange, diagnostics, digital biomarker, interconnected, interoperability, machine learning, personalized health, sepsis
Pubmed
Web of science
Create date
03/07/2020 19:33
Last modification date
01/05/2021 6:32
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