Nuklearmedizin 2023; 62(05): 276-283
DOI: 10.1055/a-2067-7642
Review

The Medical Informatics Initiative and the Network University Medicine - Perspectives for Nuclear Medicine

Die Medizininformatik-Initiative und das Netzwerk Universitätsmedizin – Perspektiven für die Nuklearmedizin
Isabelle Miederer
1   Department of Nuclear Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany (Ringgold ID: RIN39068)
,
Julian Manuel Michael Rogasch
2   Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, Berlin, Germany (Ringgold ID: RIN14903)
3   Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
,
Regina Fischer
4   Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)
5   Bavarian Center for Cancer Research (BZKF), Partner Site Regensburg, Regensburg, Germany
6   Medical Data Integration Center MEDIZUKR, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)
,
Timo Fuchs
4   Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)
5   Bavarian Center for Cancer Research (BZKF), Partner Site Regensburg, Regensburg, Germany
6   Medical Data Integration Center MEDIZUKR, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)
,
Constantin Lapa
7   Nuclear Medicine, Medical Faculty, University of Augsburg, Augsburg, Germany (Ringgold ID: RIN26522)
8   Bavarian Center for Cancer Research (BZKF), Partner Site Augsburg, Augsburg, Germany
,
Philipp Lohmann
9   Institute of Neuroscience and Medicine (INM-4), Research Center Juelich (FZJ), Juelich, Germany
,
Kuangyu Shi
10   Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland (Ringgold ID: RIN27210)
,
Johannes Tran-Gia
11   Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany (Ringgold ID: RIN27207)
12   Bavarian Center for Cancer Research (BZKF), Partner Site Würzburg, Würzburg, Germany
,
Thomas Wendler
13   Chair for Computer-Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany (Ringgold ID: RIN9184)
,
Dirk Hellwig
4   Department of Nuclear Medicine, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)
5   Bavarian Center for Cancer Research (BZKF), Partner Site Regensburg, Regensburg, Germany
6   Medical Data Integration Center MEDIZUKR, University Hospital Regensburg, Regensburg, Germany (Ringgold ID: RIN39070)
› Author Affiliations
Supported by: Bundesministerium für Bildung und Forschung ABIDE_MI: 01ZZ2061T,DIFUTURE: 01ZZ1804H,NUM: 01KX2121
Supported 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.



Publication History

Received: 05 April 2023

Accepted: 12 April 2023

Article published online:
08 September 2023

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