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Digital Health & AI (Seminar)

(Digital Health and AI)

InstructorProf. Dr. Daniel Fürstenau, Rahel Gubser, M.A.
Contact PersonProf. Dr. Daniel Fürstenau
Semesterfrom 1st semester master
Scope of Course4 SWS
Credit Points6 ECTS
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Registration Mode

Students at Freie Universität Berlin register via the Campus Management System. All other interested students please send an email to the lecturers with a short motivation (maximum 1 page).

StartOct 16, 2023
endMar 29, 2024

Information event: 16.10.2023, 16h, online

Block seminar: 4.-8.3.2024, 9-16h, Einstein Center Digital Future

Student Profile

Master students of Business Informatics at the FU Berlin. The course is open to other interested parties, e.g. from the Berlin-wide master's program in Data Science or programs at Freie Universität Berlin, Humboldt-Universität Berlin, TU Berlin or Charité - Universitätsmedizin Berlin, e.g. business administration, computer science, medicine, nursing science or related fields.


There are no formal prerequisites for participation. Prior knowledge of healthcare or digital technologies is helpful, but not a must.

The course is dedicated to current issues in the field of digital health, with a special focus on the requirements and potentials of the use of artificial intelligence in healthcare. The course starts with a structured introduction to the basics of the use of digital technology in healthcare (e.g. types and effects as well as challenges in the implementation of electronic patient records / electronic health records, implementation of health information exchanges, interoperability standards) before discussing more current approaches in the field of digital health such as the use of wearables or quantified self approaches and the use and effects of artificial intelligence in healthcare. The content will be taught in each case by means of papers, case studies and theoretical models and approaches. A textbook provides the necessary structure for the foundation portion of the course.

The course combines the learning content with work on an own practical project, where the development of a concrete Digital Health solution based on practical

The following learning objectives are pursued, which can be slightly modified up to the start of the course:

  1. Describe the function, challenges, and opportunities of using digital technologies in healthcare.
  2. Identify and describe the requirements for the design, implementation and use of digital technologies in healthcare.
  3. Analyze and discuss specific cases of digital innovation in healthcare based on the theories presented in the course and derive recommendations for practice.
  4. Reflect on how the healthcare industry can leverage digital technologies to meet current healthcare goals and needs.

Course Literature

Hersh, W. (2022). Health Informatics: practical guide (W. Hersh, Ed.; 8th ed.). Lulu.com.


  • Artificial Intelligence
  • Consumerization of Healthcare IT
  • Digital Health
  • Digitalization
  • Electronic Health Records
  • Health Information Exchanges
  • Healthcare
  • Healthcare Transformation
  • Implementation Science
  • Process Innovation
  • User-Centered Design
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Department Wirtschaftsinformatik