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  4. Towards an integrated health research process: A cloud-based approach
 

Towards an integrated health research process: A cloud-based approach

URI
https://arbor.bfh.ch/handle/arbor/38114
Version
Published
Date Issued
2016
Author(s)
Schapranow, Matthieu-P.
Uflacker, Matthias
Sariyar, Murat  
Semler, Sebastian
Fichte, Johannes
Schielke, Dietmar
Ekinci, Kismet
Zahn, Thomas
Type
Conference Paper
Language
English
Abstract
Today, health research and health care generate a steadily increasing amount of data. Making these available for secondary use cases is essential for efficiency gains in health research, e.g. by reducing time-and costs-intensive acquisition of data. In this contribution, we introduce our SAHRA software platform enabling reproducible research, e.g. by combining multiple data sources, performing data de-identification, and content filtering. We define an innovative research process combining retrospective and prospective research for the first time. Thus, authorized users, e.g. clinical researchers, are able to gain access through our system relevant research data and to perform interactive analyses. As a result, existing sensitive health data is securely transformed into de-identified research data, which can be used to improve future health research.
ISBN
978-1-4673-9005-7
DOI
10.24451/arbor.13274
https://doi.org/10.24451/arbor.13274
Publisher DOI
10.1109/BigData.2016.7840929
Publisher URL
https://www.computer.org/csdl/proceedings-article/big-data/2016/07840929/12OmNASraXi
Organization
Institut für Medizininformatik I4MI  
Technik und Informatik  
Conference
2016 IEEE International Conference on Big Data (Big Data)
Publisher
IEEE
Submitter
MeierL
Citation apa
Schapranow, M.-P., Uflacker, M., Sariyar, M., Semler, S., Fichte, J., Schielke, D., Ekinci, K., & Zahn, T. (2016). Towards an integrated health research process: A cloud-based approach (pp. 2813–2818). IEEE. https://doi.org/10.24451/arbor.13274
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