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Research collaboration data platform ensuring general data protection.
Toma, Monica; Bönisch, Caroline; Löhnhardt, Benjamin; Kelm, Michael; Bohnenberger, Hanibal; Winkelmann, Sven; Ströbel, Philipp; Kesztyüs, Tibor.
Affiliation
  • Toma M; Siemens Healthineers AG, Erlangen, Germany. monica.toma@siemens-healthineers.com.
  • Bönisch C; Medical Data Integration Center, Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany. caroline.boenisch@hochschule-stralsund.de.
  • Löhnhardt B; Faculty of Electrical Engineering and Computer Science, University of Applied Sciences Stralsund, Stralsund, Germany. caroline.boenisch@hochschule-stralsund.de.
  • Kelm M; Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany.
  • Bohnenberger H; Siemens Healthineers AG, Erlangen, Germany.
  • Winkelmann S; Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany.
  • Ströbel P; Siemens Healthineers AG, Erlangen, Germany.
  • Kesztyüs T; Nuremberg Institute of Technology, Nuremberg, Germany.
Sci Rep ; 14(1): 11887, 2024 05 24.
Article in En | MEDLINE | ID: mdl-38789442
ABSTRACT
Translational data is of paramount importance for medical research and clinical innovation. It has the potential to benefit individuals and organizations, however, the protection of personal data must be guaranteed. Collecting diverse omics data and electronic health records (EHR), re-using the minimized data, as well as providing a reliable data transfer between different institutions are mandatory steps for the development of the promising field of big data and artificial intelligence in medical research. This is made possible within the proposed data platform in this research project. The established data platform enables the collaboration between public and commercial organizations by data transfer from various clinical systems into a cloud for supporting multi-site research while ensuring compliant data governance.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Security / Electronic Health Records Limits: Humans Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Security / Electronic Health Records Limits: Humans Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Country of publication: