gms | German Medical Science

66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V. (TMF)

26. - 30.09.2021, online

IT support for cross-site data sharing of research inquiries

Meeting Abstract

  • Fatma Betül Altun - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany
  • Michael Folz - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany
  • David Reinert - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany
  • Martin Pinnau - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany
  • Désirée Walther - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany
  • Sebastian Mate - Medical Centre for Information and Communication Technology, Data Integration Centre, Universitätsklinikum Erlangen, Erlangen, Germany
  • Ines Reinecke - Center for Medical Informatics, Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
  • Abishaa Vengadeswaran - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany
  • Jannik Schaaf - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany
  • Dennis Kadioglu - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany
  • Holger Storf - Medical Informatics Group (MIG), University Hospital Frankfurt, Frankfurt am Main, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF). sine loco [digital], 26.-30.09.2021. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 158

doi: 10.3205/21gmds070, urn:nbn:de:0183-21gmds0703

Veröffentlicht: 24. September 2021

© 2021 Altun et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Introduction: Data sharing and collaborative data analysis in medical research have become increasingly important, which is shown by current German initiatives like the Medical Informatics Initiative (MI-I) [1] or the Network University Medicine [2]. A primary goal of Medical Informatics in Research and Care in University Medicine (MIRACUM), one of the consortia of the MI-I consisting of 10 partner sites, is to develop IT-support for the cross-location exchange of data for research [3]. The objective of this work is to present a general concept and first implementation of a federated data inquiry tool suite to allow cross-site data inquiries, independent of the underlying data warehouse technology.

State of the Art: Currently, different self-contained IT infrastructures of various research networks are established, e.g. the Common Service IT platform in the German Biobank Alliance [4], the Clinical Communication Platform (CCP-IT) in the German Consortium for Translational Cancer Research (DKTK) [5] and the Biobanking and Data Management Platform in the German Center for Lung Research [6], which enable data inquiry within the network.

Concept: Each of the mentioned IT infrastructures bases on data warehouse specific modules for data storage, query building and communication. The proposed concept allows the use of a variety of data warehouses with their associated query applications while only requiring a single connector component to be installed locally. It consists of a central project proposal module, which is connected to a central broker and different query builders. Researchers create a project proposal and formulate a research query via one of the query builders. The query is forwarded to and stored in the broker. Authorized local connector components pull the queries and run them against the respective local data warehouse. The results are returned to the broker and are ultimately displayed in the project proposal module.

Implementation: As a project proposal module, ProSkive [7] has been chosen. ProSkive allows to adapt the data entry forms and workflows to implement a unified data inquiry process according to the requirements of a network.

The communication modules Connector Component Federated Search (CC-FS) and Broker [7] are based on the concepts and implementation of the CCP-IT. However, as both components contained functionality beyond the communication of queries, they have been re-implemented with less complexity.

The CC-FS instances send the local results back to the broker, and ProSkive presents the aggregated result to the researcher.

At the MIRACUM Symposium 2020 [8] we have successfully demonstrated a cross-site feasibility inquiry via the described implementation utilizing li2b2 as query builder and i2b2 as local data warehouses. In October 2020 an internal demonstration utilizing Atlas and OMOP has been successfully accomplished.

Lessons Learned: Evaluations have shown that the local sites need more insight and control over their local CC-FS instances. Furthermore, as the MI-I focuses on HL7 FHIR [9], we plan to extend the implementation accordingly.

Acknowledgements: This work has been funded by the German Federal Ministry of Education and Research (BMBF) within the Medical Informatics Funding Scheme (Erlangen: 01ZZ1801A, Frankfurt: 01ZZ1801C, Dresden: 01ZZ1801L).

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


References

1.
medizininformatik-initiative.de [homepage on the Internet]. MEDIZIN INFORMATIK INITIATIVE; [cited 2021 Aug 6]. Available from: https://www.medizininformatik-initiative.de/de/start Externer Link
2.
netzwerk-universitaetsmedizin.de [homepage on the Internet]. Netzwerk Uuniversitätsmedizin; [cited 2021 Aug 6]. Available from: https://www.netzwerk-universitaetsmedizin.de/
3.
Prokosch HU, Acker T, Bernarding J, Binder H, Boeker M, Boerries M, Daumke P, Ganslandt T, Hesser J, Höning G, Neumaier M, Marquardt K, Renz H, Rothkötter HJ, Schade-Brittinger C, Schmücker P, Schüttler J, Sedlmayr M, Serve H, Sohrabi K, Storf H. MIRACUM: Medical Informatics in Research and Care in University Medicine. Methods Inf Med. 2018 Jul;57(S 01):e82-e91. DOI: 10.3414/ME17-02-0025 Externer Link
4.
Proynova R, Alexandre D, Lablans M, Van Enckevort D, Mate S, Eklund N, Silander K, Hummel M, Holub P, Ückert F. A Decentralized IT Architecture for Locating and Negotiating Access to Biobank Samples. Stud Health Technol Inform. 2017;243:75-79.
5.
Joos S, Nettelbeck DM, Reil-Held A, Engelmann K, Moosmann A, Eggert A, Hiddemann W, Krause M, Peters C, Schuler M, Schulze-Osthoff K, Serve H, Wick W, Puchta J, Baumann M. German Cancer Consortium (DKTK) - A national consortium for translational cancer research. Mol Oncol. 2019 Mar;13(3):535-542. DOI: 10.1002/1878-0261.12430 Externer Link
6.
Majeed RW, Stöhr MR, Thiemann VS, Röhrig R, Günther A. Asynchronous Query Distribution Between Multiple i2b2 Research Data Warehouses: Li2b2-SHRINE. Stud Health Technol Inform. 2017;245:1276.
7.
miracum – Medical Informatics in Research and Care in University Medicine. MIRACOLIX Tools [Internet]. [cited 2021 Aug 6]. Available from: https://www.miracum.org/dic/miracolix-tools-ii/ Externer Link
8.
miracum – Medical Informatics in Research and Care in University Medicine. Symposium 2020 [Internet]. [cited 2021 Aug 6]. Available from: https://www.miracum.org/events/symposium-2020/ Externer Link
9.
HL7. HL7 FHIR Release 4 [Internet]. [updated 2019, Nov 1, cited 2021 Aug 6]. Available from: https://hl7.org/fhir/ Externer Link