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: Marvin Braun
  • Exercises: Dr. Maike Greve, Marvin Braun, Aycan Aslan, Till Ole Diesterhöft, Felix Kegel, Dr. Benjamin Brauer
  • Language: English

  • SCHEDULE WINTER TERM 23/24
    Please note that some dates might change until the start of the lecture.



    Lecture
    Lecture 0: 26.10.23Introduction & Fundamentals of the German healthcare systemLive in presence: Theo 0.134
    12 am - 2 pm
    Lecture 1: 02.11.23Infrastructure & Data managementLive in presence: Theo 0.134
    12 am - 2 pm
    Guest Lecture: 08.11.23Topic: Insights on data integration at UMGLive in presence: Waldweg 26, 1.201
    10 am - 12 am
    Lecture 2: 16.11.23WearablesLive in presence: Theo 0.134
    12 am - 2 pm
    Lecture 3: 30.11.23Artificial IntelligenceLive in presence: Theo 0.134
    12 am - 2 pm
    Lecture 4: 14.12.23Data EthicsLive in presence: Theo 0.134
    12 am - 2 pm
    Lecture 5: 11.01.24Global HealthLive in presence: Theo 0.134
    12 am - 2 pm
    Exam Preparation and Guest Lecture: 25.01.24Topic of the lecture: Virtual Reality in Digital Health (Cureosity)Live in presence: Theo 0.134
    12 am - 2 pm
    Lecture 6: 01.02.24Market accessLive in presence: Theo 0.134
    12 am - 2 pm
    Exercise
    Exercise 1: 09.11.23Infrastructure & Data managementLive in presence: Theo 0.134
    12 am - 2 pm
    Exercise 2: 23.11.23WearablesLive in presence: Theo 0.134
    12 am - 2 pm
    Exercise 3: 01.12.23Artificial IntelligenceLive in presence: VG 2.101
    10 am - 12 am
    Exercise 4: 14.12.23Data EthicsLive in presence: ZHG 002
    2 pm - 4 pm
    Exercise 5: 18.01.24Global HealthLive in presence: Theo 0.134
    12 am - 2 pm
    Exercise 6: 08.02.24Market accessLive in presence, Theo 0.134
    12 am - 2 pm
    Exam
    E-Exam, approx. 22.02.24E-Exam Room MZG 1.11612 am - 2 pm (90 minutes)