Chaque module vaut 3 ECTS. Vous sélectionnez 10 modules/30 ECTS parmi les catégories suivantes:
- 12-15 crédits ECTS en Modules technico-scientifiques (TSM)
Les modules TSM vous transmettent une compétence technique spécifique à votre orientation et complètent les modules de spécialisation décentralisés. - 9-12 crédits ECTS en Bases théoriques élargies (FTP)
Les modules FTP traitent de bases théoriques telles que les mathématiques élevées, la physique, la théorie de l’information, la chimie, etc., vous permettant d’étendre votre profondeur scientifique abstraite et de contribuer à créer le lien important entre l’abstraction et l’application dans le domaine de l’innovation. - 6-9 crédits ECTS en Modules contextuels (CM)
Les modules CM vous transmettent des compétences supplémentaires dans des domaines tels que la gestion des technologies, la gestion d’entreprise, la communication, la gestion de projets, le droit des brevets et des contrats, etc.
Le descriptif de module (download pdf) contient le détail des langues pour chaque module selon les catégories suivantes:
- leçons
- documentation
- examen
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.
Compétences préalables
The following will be helpful to follow the course:
- knowledge about sensor-based - structured data acquisition
- knowledge of database concepts and information systems
Objectifs d'apprentissage
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.
Contenu des modules
- 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
Méthodes d'enseignement et d'apprentissage
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.
Bibliographie
Slides and lecture notes will be available in addition to recommended book chapters.
Télécharger le descriptif complet
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