Jedes Modul umfasst 3 ECTS. Sie wählen insgesamt 10 Module/30 ECTS in den folgenden Modulkategorien:
- 12-15 ECTS in Technisch-wissenschaftlichen Modulen (TSM)
TSM-Module vermitteln Ihnen profilspezifische Fachkompetenz und ergänzen die dezentralen Vertiefungsmodule. - 9-12 ECTS in Erweiterten theoretischen Grundlagen (FTP)
FTP-Module behandeln theoretische Grundlagen wie die höhere Mathematik, Physik, Informationstheorie, Chemie usw. Sie erweitern Ihre abstrakte, wissenschaftliche Tiefe und tragen dazu bei, den für die Innovation wichtigen Bogen zwischen Abstraktion und Anwendung spannen zu können. - 6-9 ECTS in Kontextmodulen (CM)
CM-Module vermitteln Ihnen Zusatzkompetenzen aus Bereichen wie Technologiemanagement, Betriebswirtschaft, Kommunikation, Projektmanagement, Patentrecht, Vertragsrecht usw.
In der Modulbeschreibung (siehe: Herunterladen der vollständigen Modulbeschreibung) finden Sie die kompletten Sprachangaben je Modul, unterteilt in die folgenden Kategorien:
- Unterricht
- Dokumentation
- Prüfung
This course provides an in-depth overview of data management in digital healthcare.
Special features and challenges of medical documentation will be discussed including underlying ontologies, classifications and scoring systems. Particular emphasis will be placed on a deeper understanding of different dimensions of interoperability. This knowledge will be used to address exemplary specific tasks in group based case studies. Challenges for software development in the context of the Medical Device Regulation (“MDR”) are covered.
The particular challenges of digital transformation in healthcare are discussed. In particular, the inclusion of empowered patients in future will be discussed and demonstrated, as well as the potential of the merging of lifestyle data, vital data and medical documentation. The topic of data reuse from the different medical applications combined with security issues within the emerging data science centers is also a subject of this module.
Eintrittskompetenzen
The following will be helpful to follow the course:
- knowledge about sensor-based - structured data acquisition
- knowledge of database concepts and information systems
Lernziele
The aim of this lecture is to understand,
- how Data are collected in medicine,
- how these data are organized in a structured and interoperable way,
- the importance of information systems in this context,
- the role of these systems as a basis for digital transformation in the healthcare sector,
- how information systems can be linked with eHealth, mHealth (“mobile Health”), pHealth (“personalized Health”)
- how future active assisted living can be supported
- and the impact of MDR on the professionalization of medical software and apps.
Modulinhalt
- Medical & Health Data Documentation
- Medical Ontologies and Classification
- Hospital & Health Care Information Management Systems
- Dimensions of Interoperability in Health Care Systems
- mHealth ecosystem and participatory design
- case study presentations
- UX design
- Home monitoring
- From data to the predictive model
Lehr- und Lernmethoden
Lectures and practical work on computer. Partial flipped classroom teaching with clinical cases which are to be worked up and presented in groups with tasks regarding digital handling of such cases. Site visit of a hospital.
Bibliografie
Slides and lecture notes will be available in addition to recommended book chapters.
Vollständige Modulbeschreibung herunterladen
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