Digital health applications can improve quality and effectiveness of healthcare, by offering a number
of new tools to users, which are often considered a medical device. Assuring their safe operation
requires, amongst others, clinical validation, needing large datasets to test them in realistic clinical
scenarios. Access to datasets is challenging, due to patient privacy concerns. Development of
synthetic datasets is seen as a potential alternative
