Today, we face the challenge of chronic conditions. Personal coaching approaches are neither scalable nor financially sustainable. The question arises, therefore, to which degree Digital Health Technologies (DHTs) are appropriate to address this challenge.

The third module of our CAS ETH in Digital Health introduces the concept of digital biomarkers. More specifically, the course will cover fundamental topics such as designing observational studies, collecting and exploring data generated by consumer-centric devices, and applying analytical methods to predict health-related outcomes.

The widespread use of mobile technologies (e.g., wearable sensors, mobile applications, social media, and location-tracking technologies) can meet the health monitoring needs of the world’s aging population and the ever-growing number of chronic patients. However, this premise is based on applying information and communication technologies that allow us to monitor patient data in many different ways. In this course, we will analyze systematic ways to collect data, review the most appropriate methods and applications in healthcare, discuss the main challenges, and apply the newly gained knowledge in a project.

Students will learn to…

1. understand the concept of digital biomarkers in general
2. understand the various application areas of digital biomarkers
3. critically reflect and assess existing digital biomarkers
4. understand how to design a digital biomarker

Please assess all details of our CAS ETH in Digital Health.