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DOI: 10.1055/a-2067-7642
The Medical Informatics Initiative and the Network University Medicine - Perspectives for Nuclear Medicine
Die Medizininformatik-Initiative und das Netzwerk Universitätsmedizin – Perspektiven für die Nuklearmedizin Supported by: Bundesministerium für Bildung und Forschung ABIDE_MI: 01ZZ2061T,DIFUTURE: 01ZZ1804H,NUM: 01KX2121Supported by: Bavarian Center for Cancer Research (BZKF)
Abstract
Digitization in the healthcare sector and the support of clinical workflows with artificial intelligence (AI), including AI-supported image analysis, represent a great challenge and equally a promising perspective for preclinical and clinical nuclear medicine. In Germany, the Medical Informatics Initiative (MII) and the Network University Medicine (NUM) are of central importance for this transformation. This review article outlines these structures and highlights their future role in enabling privacy-preserving federated multi-center analyses with interoperable data structures harmonized between site-specific IT infrastructures. The newly founded working group “Digitization and AI” in the German Society of Nuclear Medicine (DGN) as well as the Fach- und Organspezifische Arbeitsgruppe (FOSA, specialty- and organ-specific working group) founded for the field of nuclear medicine (FOSA Nuklearmedizin) within the NUM aim to initiate and coordinate measures in the context of digital medicine and (image-)data-driven analyses for the DGN.
Keywords
Digitalization - Data integration - Harmonization - Federated learning - Multi-centric analysisPublication History
Received: 05 April 2023
Accepted: 12 April 2023
Article published online:
08 September 2023
© 2023. Thieme. All rights reserved.
Georg Thieme Verlag KG
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Literature
- 1 Heyder R, NUM Coordination Office, NUKLEUS Study Group. et al. The German Network of University Medicine: technical and organizational approaches for research data platforms. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2023; 66 (02) 114-125
- 2 Zwanenburg A, Vallieres M, Abdalah MA. et al. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology 2020; 295 (02) 328-338
- 3 Houdu B, Lasnon C, Licaj I. et al. Why harmonization is needed when using FDG PET/CT as a prognosticator: demonstration with EARL-compliant SUV as an independent prognostic factor in lung cancer. Eur J Nucl Med Mol Imaging 2019; 46 (02) 421-428
- 4 Wilkinson MD, Dumontier M, Aalbersberg IJ. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 2016; 3: 160018
- 5 TMF – Technology, Methods, and Infrastructure for Networked Medical Research. About the initiative. Accessed March 18, 2023 at: https://www.medizininformatik-initiative.de/en/about-initiative
- 6 TMF – Technology, Methods, and Infrastructure for Networked Medical Research. Phases. Accessed March 18, 2023 at: https://www.medizininformatik-initiative.de/en/about-initiative/phases
- 7 TMF – Technology, Methods, and Infrastructure for Networked Medical Research. Consortia. Accessed March 18, 2023 at: https://www.medizininformatik-initiative.de/en/node/5
- 8 “Das Datenintegrationszentrum - Services für Forschung und Versorgung. Erfahrungen, Erkenntnisse und Berichte 2018 bis 2021” in “miracum”, Steering Board des MIRACUM-Konsortiums, 2022.
- 9 TMF – Technology, Methods, and Infrastructure for Networked Medical Research. Data integration centres. Accessed March 18, 2023 at: https://www.medizininformatik-initiative.de/en/consortia/data-integration-centres
- 10 “Die MII wächst zusammen: Gemeinsam die Patientenversorgung und medizinische Forschung stärken” in “miracum #5”, Steering Board des MIRACUM-Konsortiums, 2022.
- 11 Budin-Ljosne I, Burton P, Isaeva J. et al. DataSHIELD: an ethically robust solution to multiple-site individual-level data analysis. Public Health Genomics 2015; 18 (02) 87-96
- 12 Oya Beyan O, Choudhury A, van Soest J. et al. Distributed Analytics on Sensitive Medical Data: The Personal Health Train. Data Intelligence 2020; 2: 96-107
- 13 TMF – Technology, Methods, and Infrastructure for Networked Medical Research. Use Cases of the Consortia. Accessed March 18, 2023 at: https://www.medizininformatik-initiative.de/en/use-cases-and-projects/use-cases-consortia
- 14 Charité – Universitätsmedizin Berlin. Die Projekte im Netzwerk Universitätsmedizin. Accessed March 18, 2023 at: https://www.netzwerk-universitaetsmedizin.de/projekte
- 15 Kapsner LA, Kampf MO, Seuchter SA. et al. Reduced Rate of Inpatient Hospital Admissions in 18 German University Hospitals During the COVID-19 Lockdown. Front Public Health 2020; 8: 594117
- 16 TMF – Technology, Methods, and Infrastructure for Networked Medical Research. Medizininformatik-Initiative: neue Use Cases gefördert. Accessed March 18, 2023 at: https://www.medizininformatik-initiative.de/de/medizininformatik-initiative-neue-use-cases-gefoerdert
- 17 TMF – Technology, Methods, and Infrastructure for Networked Medical Research. “Digital Hubs: Advances in Research and Health Care”. Accessed March 18, 2023 at: https://www.medizininformatik-initiative.de/en/use-cases-and-projects/digital-hubs-advances-research-and-health-care
- 18 Charité – Universitätsmedizin Berlin. Aufgaben und Ziele. Accessed March 18, 2023 at: https://www.netzwerk-universitaetsmedizin.de/aufgaben-und-ziele
- 19 Charité – Universitätsmedizin Berlin. Finanzierung. Accessed March 18, 2023 at: https://www.netzwerk-universitaetsmedizin.de/finanzierung
- 20 Charité – Universitätsmedizin Berlin. Organisation. Accessed March 18, 2023 at: https://www.netzwerk-universitaetsmedizin.de/organisation
- 21 TMF – Technology, Methods, and Infrastructure for Networked Medical Research. “Wichtigste Kraft Deutschlands bei der Digitalisierung der Gesundheitsforschung“. Accessed March 18, 2023 at: https://www.medizininformatik-initiative.de/de/wichtigste-kraft-deutschlands-bei-der-digitalisierung-der-gesundheitsforschung
- 22 Charité – Universitätsmedizin Berlin. CODEX+. Accessed March 18, 2023 at: https://www.netzwerk-universitaetsmedizin.de/projekte/codex-plus
- 23 Klinik für Radiologie der Charité – Universitätsmedizin Berlin und Institut für Diagnostische und Interventionelle Radiologie Uniklinik Frankfurt. RACOON. Die Radiologie Kooperation im NUM. Accessed March 18, 2023 at: https://racoon.network/
- 24 Schons M, Pilgram L, Reese JP. et al. The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics. Eur J Epidemiol 2022; 37 (08) 849-870
- 25 Vehreschild J. Nationales Pandemie Kohorten Netz. Das bundesweite Forschungsnetzwerk zu COVID-19. Accessed March 18, 2023 at: https://napkon.de/ 2022