Institute of Medical… Welcome Events and Dates 2nd Heidelberg Spring…
PRELIMINARY ABSTRACT VOLUME

2nd Heidelberg Spring Symposium Medical Informatics - Medical information systems for innovative research and care

May 8, 2024, 12:00 to 16:00, Marsiliusarkaden / Hybrid event.

Information systems are an important foundation for excellent patient care and research in medicine. Digital medicine can only be successfully implemented if excellent information systems are available. Today, however, efficient use is often still hampered by insufficient high-quality structured data and limited usability of documentation systems. Following the very successful Symposium 2023, we would like to promote scientific exchange in Germany and Europe on this topic and therefore cordially invite you to the 2nd Heidelberg Spring Symposium on Medical Informatics. The main topic of the event will be medical information systems for innovative research and care, specifically:

Medical Information Systems

  • Design: metadata, structured patient data, data models with semantics, interoperability
  • Implementation: quality assured software development, clinical decision support (CDS)
  • Clinical benefits of digitization

Research compatible information systems

  • study databases
  • ETL, EDC and data quality

Patient-centered applications

  • Digital health applications
  • Patient benefits of apps


The event will take place on May 8 2024 from 12.00 - 16.00 as a hybrid event in the Marsilius-Arkaden at Heidelberg University Hospital.

ePoster
  • F. Carrle et al. (Heilbronn): Consolidation of clinical data: Harmonizing EEG-data of major depressive disorder patients and healthy controls
  • L. Kapsner et al. (Erlangen): Artifact Detection in DCE Breast MRI: Transition from ROIs to Whole-Breast-MIPs
  • M. Pedrera-Jiminez et al. (Hamburg): Better Sandbox: a comprehensive platform for quality-assured healthcare software development based on openEHR
  • P. Röchner et al. (Mainz): Synthesizing tabular health data in cancer registry using generative machine learning approaches
  • L. Schmidt et al. (Potsdam): The three-year evolution of Germany's digital therapeutics reimbursement program and its path forward
  • S. Sigle et al. (Heilbronn): Setting the Stage for Interoperable, Interinstitutional Application of (AI) Algorithms and Services for Radiology Use Cases: the OMI Protocol
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