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: Julia Klein
  • Exercises: Dr. Maike Greve, Julia Klein, Aycan Aslan, Felix Kegel, Dr. Benjamin Brauer, Kimsey Zajac, Dirk Simon, Louisa Peters
  • Language: English

  • SCHEDULE WINTER TERM 24/25
    Please note that some dates might change until the start of the lecture.

    Lecture
    Lecture 0: 24.10.24Introduction Live in presence: Theo 0.134
    12:15 - 13:45
    Lecture 1: 30.10.24Infrastructure & Data managementRecording
    Lecture 2: 14.11.24Artificial Intelligence Online
    12:15 - 13:45
    Lecture 3: 28.11.24WearablesOnline
    12:15 - 13:45
    Lecture 4: 12.12.24Global HealthOnline
    12:15 - 13:45
    Lecture 5: 09.01.25Data EthicsOnline
    12:15 - 13:45
    Lecture 6: 23.01.25Market AccessOnline
    12:15 - 13:45
    Exercise
    Exercise 1: 07.11.24Introduction to the German Health SystemLive in presence: Theo 0.134
    12:15 – 13:45
    Exercise 2: 21.11.24Artificial Intelligence Live in presence: Theo 0.134
    12:15 – 13:45
    Exercise 3: 05.12.24WearablesLive in presence: Theo 0.134
    12:15 – 13:45
    Exercise 4: 19.12.24Global HealthLive in presence: Theo 0.134
    12:15 – 13:45
    Exercise 5: 16.01.25Data GovernanceLive in presence: Theo 0.134
    12:15 – 13:45
    Exercise 6: 30.01.25Market accessLive in presence: Theo 0.134
    12:15 – 13:45
    Panel Discussion: 06.02.25Tbd.Tbd.

    Exam
    E-Exam: 20.02.2025E-Exam Room MZG 1.11614:15 pm – 15:45 pm (90 minutes)