Professur für Informationsmanagement

Digital Health - M.Sc.

The module is intended for all master's students of the Faculty of Business and Economics (Global Business, Business Information Systems, Applied Statistics, Economics, etc.) and for students of the Bachelor and Master program Applied Informatics with a specialization in Medical Informatics. No prior experience is required and we welcome anyone interested in learning about Digital Health.

In the module of Digital Health, you will learn more about current challenges of the healthcare sector and how digital solutions can help to overcome these. Specifically:

  • know and understand current developments (e.g. digitalization, urbanization,
    demographic change) and their impact on the structure and care of healthcare systems (e.g. telemedicine)
  • can critically examine digital infrastructures and the importance of interdisciplinary
    approaches
  • have an understanding of the application of technologies (e.g., eHealth, mHealth, wearables) in healthcare and are aware of current national and international developments
  • are able to assess the opportunities and challenges of new technology such as artificial intelligence and human-computer interaction in healthcare
  • can critically reflect the legal and ethical challenges in digital healthcare
  • can evaluate the acquired knowledge in connection with sustainable business
    models in the healthcare sector

General Information

  • Module: Digital Health
  • Module number lecture: M.WIWI-WIN.0038
  • Ecampus: 801796
  • Cycle: Every winter semester
  • Credits: 6 ECTS (Master studies)
  • Examination: 90 min; E-Exam
  • Lecturer: Dr. Maike Greve
  • Supervisor: Justin Vischedyk
  • Language: English

    • SCHEDULE WINTER TERM 25/26
    Please note that some dates might change until the start of the lecture.



    Lecture
    Lecture 0: 30.10.25Introduction Online
    12:15 - 13:45
    Lecture 1: 06.11.25InfrastructureRecording/Online
    Lecture 2: 13.11.25German Healthcare System Online
    12:15 - 13:45
    Lecture 3: 20.11.25Artificial IntelligenceOnline
    12:15 - 13:45
    Guest Lecture 1: 28.11.25Guest Lecture AIOnline
    12:15 - 13:45
    Lecture 4: 04.12.25WearablesOnline
    12:15 - 13:45
    Lecture 5: 12.12.25Global HealthRecording/Online
    12:15 - 13:45
    Workshop: 18.12.25In Person: WorkshopRoom: VG 0.111
    12:15 - 13:45
    Lecture 6: 08.01.26Healthcare Data EthicsOnline
    12:15 - 13:45
    Guest Lecture 2: 16.01.26Guest LectureOnline
    12:15 - 13:45
    Lecture 7: 23.01.26Market AccessOnline
    12:15 - 13:45
    Lecture 8: 29.01.26Information Systems Research on HealthOnline
    12:15 - 13:45
    Lecture 9: 06.02.26Recap and Q&AOnline
    12:15 - 13:45
    Exam
    E-Exam: 19.02.2026E-Exam Room MZG 1.116 (tbd)tbd (90 minutes)