Towards an integrated health research process: A cloud-based approach
Version
Published
Date Issued
2016
Author(s)
Schapranow, Matthieu-P.
Uflacker, Matthias
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
Publisher DOI
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
File(s)![Thumbnail Image]()
Loading...
restricted
Name
conference-proceeding.pdf
License
Publisher
Version
published
Size
351.31 KB
Format
Adobe PDF
Checksum (MD5)
02d300c20ef42671b874f671c40fc4f8
