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.
First, the special features and challenges of medical documentation will be discussed followed by the 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 medical information systems. Challenges for software development in the context of the Medical Device Regulation (“MDR”) are covered.
Digitalization considerations will then open the next section which deals with the particular challenges of digital transformation in healthcare. In particular, the inclusion of patients in future data collection 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 issus within the emerging data science centers is also a subject of this module.
Compétences préalables
This course requires knowledge about
- the electronic - also sensor-based - structured data acquisition,
- user centered design,
- a good understanding
- of database-concepts,
- of information systems and
- of general data analysis.
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
First Part (6 weeks):
- Medical & Health Data Documentation (1 week)
- Hospital & Health Care Information Management Systems (1 week)
- Medical Ontologies and Classification (2 weeks)
- Dimensions of Interoperability in Health Care Systems (2 weeks)
Second Part (8 weeks):
- Device Connectivity, FHIR, MDR for software (1 week)
- Digitalization & Transformation in Treatment Pathways (1 week)
- mHealth & App – Ecosystems (1 week)
- eHealth & EPD (1 week)
- pHealth and Data Science Center (1 week)
- From Data to Predictive Models (2 weeks)
- Home Monitoring (1 week)
Méthodes d'enseignement et d'apprentissage
Lectures and practical work on computer.
Bibliographie
Slides and lecture notes will be available in addition to recommended book chapters.
Télécharger le descriptif complet
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