Key subject areas
Digital transformation | Health informatics | Health sciences and forms of care | Data science and artificial intelligence | Management | Scientific qualifications
Specialization in Digital Health Technologies
At the beginning of the course, there is a small introductory project in which you will get to know other professional groups and their requirements as well as topics from the health application domain. You will also start with a course designed especially for you, in which you will learn an overview of the key eHealth requirements of the healthcare professions. This should give you a good understanding of the workflows and processes of the various care areas and healthcare professions and give you a good overview of cross-professional topics that you will need for the rest of your studies.
From the second semester onwards, you will delve deeper into clinical decision support systems, eHealth infrastructure and the Internet of Medical Things as well as advanced topics of artificial intelligence in healthcare. In a project course, you will work on specific case studies on digital health technologies in collaboration with healthcare facilities and relevant software companies and research institutions. You will complete the fourth semester with a relevant Master’s thesis.
Teaching focus areas
In addition to the specialization subjects, there are the following teaching focuses, which are dealt with together with the study track Digital Transformation in Healthcare. Teaching is provided by highly qualified internal lecturers as well as industry experts from the management of healthcare and software companies, research, universities, etc.
Health informatics
You will learn about the connection between medical and nursing documentation (ICD-10, LOINC, DICOM, DRG, CDISC, ICPC-2, NANDA, ICF, ATC, …), semantic interoperability (HL7-CDA, FHIR, SNOMED-CT, IHE, …) and modern eHealth applications. On the subject of Electronic Health Records, you will be given an overview of international trends and the Austrian ELGA concept in particular. User-centered design as well as data protection and data security topics complete this focus.
Health sciences and forms of care
You will consolidate your knowledge of the health application domain through subjects such as public health, evidence-based medicine, epidemiology and clinical research. You will deal with technical and procedural aspects of telehealth applications.
Data science and artificial intelligence
Data analysis, business intelligence and machine learning concepts form the basis for further studies, in particular for the interpretation and independent creation of scientific publications.
Management
Change management, remuneration systems in the healthcare sector, IT law and software as a medical product are offered to acquire management skills.
Academic qualification
With Cognitive Academic Language Proficiency (CALP), you will acquire academic and English language skills for your further studies. There is also a Journal Club in the second and third semesters, where you will work with lecturers on current relevant publications. The final Master’s thesis and the accompanying seminar round off your academic training. The Cochrane Library is available free of charge for more intensive study and evidence-based analysis.
