Potential Supervisor: Daniel Fürstenau
Level: Master thesis

Background

The increasing prevalence of digital health applications (DiGA) makes a systematic evaluation of their effectiveness and cost-effectiveness necessary. In addition to medical outcomes, economic effects are increasingly becoming a focus of healthcare provision and regulation. Against this background, the thesis may either compare DiGA with and without blended care approaches or compare DiGA with and without the use of artificial intelligence. The aim is to identify differences in healthcare outcomes and cost structures; a suitable dataset is generally available, but could be specifically expanded depending on the respective research question.

References

Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM). (2023). Das Fast-Track-Verfahren für digitale Gesundheitsanwendungen (DiGA) nach § 139e SGB V – Leitfaden.

Fürstenau, D., Gersch, M. & Schreiter, S. Digital Therapeutics (DTx). Bus Inf Syst Eng 65, 349–360 (2023). https://doi.org/10.1007/s12599-023-00804-z