The COVID-19 Data Exchange Platform of the German University Medicine

Prokosch HU, Bahls T, Bialke M, Eils J, Fegeler C, Gründner J, Haarbrandt B, Hampf C, Hoffmann W, Hund H, Kampf M, Kapsner L, Kasprzak P, Kohlbacher O, Krefting D, Mang J, Marschollek M, Mate S, Müller A, Prasser F, Sass J, Semler S, Stenzhorn H, Thun S, Zenker S, Eils R (2022)


Publication Type: Book chapter / Article in edited volumes

Publication year: 2022

Journal

Publisher: IOS Press

Edited Volumes: Challenges of Trustable AI and Added-Value on Health

Series: Studies in Health Technology and Informatics

Book Volume: 294

Pages Range: 674-678

DOI: 10.3233/SHTI220554

Abstract

COVID-19 has challenged the healthcare systems worldwide. To quickly identify successful diagnostic and therapeutic approaches large data sharing approaches are inevitable. Though organizational clinical data are abundant, many of them are available only in isolated silos and largely inaccessible to external researchers. To overcome and tackle this challenge the university medicine network (comprising all 36 German university hospitals) has been founded in April 2020 to coordinate COVID-19 action plans, diagnostic and therapeutic strategies and collaborative research activities. 13 projects were initiated from which the CODEX project, aiming at the development of a Germany-wide Covid-19 Data Exchange Platform, is presented in this publication. We illustrate the conceptual design, the stepwise development and deployment, first results and the current status.

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How to cite

APA:

Prokosch, H.-U., Bahls, T., Bialke, M., Eils, J., Fegeler, C., Gründner, J.,... Eils, R. (2022). The COVID-19 Data Exchange Platform of the German University Medicine. In Brigitte Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos (Eds.), Challenges of Trustable AI and Added-Value on Health. (pp. 674-678). IOS Press.

MLA:

Prokosch, Hans-Ulrich, et al. "The COVID-19 Data Exchange Platform of the German University Medicine." Challenges of Trustable AI and Added-Value on Health. Ed. Brigitte Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos, IOS Press, 2022. 674-678.

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