11,208,1.00 Digital Biomarker Development
A digital biomarker is quantifiable and objective behavioral or physiological data collected through digital devices. Digital biomarkers explain and predict health‑related outcomes and can be classified depending on their purpose (e.g., risk, diagnostic, monitoring, prognostic, predictive, or response biomarkers). They can be gathered continuously and non‑invasively, providing valuable insights into an individualʹs health status. Digital biomarkers can revolutionize healthcare by enabling remote monitoring, personalized, just‑in‑time adaptive interventions (e.g., digital therapeutics), and early detection of diseases.
Interest in the multi‑disciplinary field of digital biomarkers at the intersection of health economics, information systems research, computer science, and medicine.
After the course, students will be able to...
1. understand the relevance of digital biomarkers for the prevention, management, and treatment of disease
The lecture is structured in three parts, with on‑site sessions and complementary online exercises. In the first part, an overview of digital biomarkers is provided. In the second part, a controlled laboratory experiment is conducted with the course participants to develop a digital biomarker in metabolic health. n the third part, students in groups will assess digital biomarker data and design a digital biomarker for healthy longevity, for example, determining biological age.
11,203,1.00 Digital Health Forum
11,202,1.00 Digital Therapeutics
Digital therapeutics (DTx) are software‑delivered interventions for managing and treating disease. DTx may leverage digital biomarkers, digital coaches and healthcare chatbots, telemedicine, mobile and wearable computing, self‑tracking, personalized medicine, connected health, smart homes, or smart cars.
Interest in the multi‑disciplinary field of Digital Health at the intersection of health economics, information systems research, computer science, and behavioral medicine.
After the course, students will be able to...
1. understand the importance of DTx for the management of chronic conditions
The lecture is structured in two parts, with on‑site sessions and complementary online exercises. In the first part, students will learn and discuss the topics of the four learning modules in weekly on‑site sessions. In the second part, students work in teams and will use their acquired knowledge to assess DTx critically.
10,167,1.00 Health Care Research Seminar Series
This doctoral seminar consists of the preparation of the presentations as described in the facts sheet, the actual seminar, and the written peer review. The seminar takes place at a location outside the university. In‑person attendance is required. Ph.D. students with different backgrounds (e.g. economics, management, information systems, computer science, or medicine) are welcome.
PromO07: Doctoral colloquia can only be attended if the coursework stage has been successfully completed.
PromO016/O017: One doctoral colloquium can be attended prior to completion of the coursework stage. A second, respectively a third doctoral colloquium can only be attended if the coursework stage has been successfully completed.
|Bachelor lecture with Prof. Kowatsch||4 ECTS|
Lecture at the University of Zurich
|04SM22MAS100 Elective Module: Digital Health in Practice||The following topics are covered: |
1. DHIs for the prevention, management, and treatment of NCDs and CMDs
2. Strategies for long-term compliance with DHI
3. Conceptual design of a wearable- and smartphone-based DHI
4. Technical implementation of a wearable- and smartphone-based DHI
5. Evaluation of a wearable- and smartphone-based DHI
Courses spring semester / Courses language English
|11,410,1.00 Emerging Business Models in Digital Health |
After the course, students ...
|Interest in the multi‑disciplinary field of Digital Health at the intersection of health economics, business informatics, computer science, and behavioral medicine.||3 ECTS|
|11,803,1.00 Digital Therapeutics Project |
After the course, students will be able to…
|Interest in the multi‑disciplinary field of Digital Health at the intersection of health economics, behavioral medicine, information systems research and computer science. |
Programming skills may be helpful but are not required. That is, students will design and implement a mobile health intervention with the help of easy‑to‑follow video tutorials. Finally, a computer with a 13‑inch display (15‑inch or larger recommended) and a smartphone with either iOS 12 (or higher) or Android Version 8 (or higher) are required to test the mobile health intervention.
Further information can be found in the course catalogue of the University of St.Gallen.