CAS ETH HSG UZH in Digital Health: Therapeutics
This CAS programme equips you with tools to tackle the design, implementation and evaluation of digital health technologies.
Why Digital Health?
Non-communicable diseases (NCDs) impose enormous health burdens on individuals and lead to substantial health economic challenges. NCDs’ risk factors relate primarily to a lifestyle characterized by tobacco and excessive alcohol consumption, physical inactivity, or an unbalanced diet. This lifestyle can lead to obesity, hypertension, and other cardiovascular and neurodegenerative diseases. Digital health interventions allow us to carry out, scale and personalise treatments for these often chronic conditions at sustainable costs. This course equips health care executives with tools to tackle the design, implementation and evaluation of such applications. During this course you will gain relevant knowledge and skills in engaging with Digital Health research, business models, and targeted applications. The lecturers focus on the latest trends such as artificial intelligence and LLMs in the field of digital health as part of the course.
Content CAS ETH HSG UZH in Digital Health: Therapeutics
The overall goal of this continuing education course is to support individuals interested in Digital Health to better understand the need, design, implementation and assessment of digital health interventions for chronic physical and mental health conditions that allow caregivers to scale and tailor long-term treatments to individuals at sustainable costs.
Participants will explore different business models and critically assess existing applications. This forms the foundation for designing and validating a personal digital biomarker with wearable technology as well as for designing, implementing and evaluating a smartphone-based, chatbot-delivered intervention.
Participant profile CAS ETH HSG UZH in Digital Health: Therapeutics
This programme is right for you if you are a medical doctor, working in the pharmaceutical industry, from healthcare, the health and life insurance industry, medtech companies, digital health companies, an employee working in corporate health, the public sector, a startup in the field of digital health and from a patient organisation.
“I joined this CAS because I wanted to put great knowledge behind my passion for the field. My already very high expectations were totally surpassed! It’s the perfect blend of the most actual topics from business, medicine, machine learning and psychology, that make up this complex field. The impeccable organisation of this hybrid experience made it easy to integrate into my very busy schedule and the engaging, inspiring and interactive teaching made it easily stick.”Oana Serban, Data Scientist
After this module, participants will be able to:
- understand the relevance of DHTs for the prevention and management of non-communicable diseases (NCDs)
- understand key characteristics of DHTs (e.g., states of vulnerability and receptivity, digital biomarkers, health care chatbots, and voice assistants)
- understand digital health business models.
After the module, participants will be able to…
- understand the importance of just-in-time adaptive interventions (JITAIs), esp. for the prevention of NCDs
- understand the design, implementation and evaluation of smartphone‐based and chatbot‐delivered JITAIs
- discuss opportunities and challenges of JITAIs
Programme fee
CHF 13,900 (hotel costs and additional costs not included)
Application fee
CHF 50 for persons with a Swiss university degree, CHF 150 for persons with another university degree (non-refundable, credit card payment only)
Withdrawal fee
- After 30 days upon admission and before start of the programme: CHF 6,585
- After the programme start: Full programme fee (CHF 13,900)
Master's degree acknowledged by ETH or equivalent educational qualifications in a relevant field such as social sciences, medicine, economics, technological sciences, or business. At least two years of postgraduate work experience in a relevant field. Access to a computer and a smartphone that support the technical tools used, e.g. allowing to develop and test the digital health interventions of the participants.
Questions?
Professur f. Technologiemarketing
Weinbergstr. 56/58
8092
Zürich
Switzerland