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ETH Certificate in Advanced Studies in Digital Health, First Cohort February 2022

***Applications are open until November 30, 2021***

Can medical Alexas make us more healthy? (The New York Times, April 2021), Wearables as a tool for measuring therapeutic adherence in behavioral health (npj Digital Medicine, May 2021), Improving community healthcare screenings with smartphone‐based AI technologies (The Lancet Digital Health, May 2021), Predictive analytics and tailored interventions improve clinical outcomes (npj Digital Medicine, June 2021), H1 2021 secured $14.7B in digital health funding, already surpassing all of 2020ʹs funding (Rock Health, 2021)

What are the implications and rationale behind the recent developments in the field of digital health?

With a clear focus on the prevention and management of non-communicable and mental illness, the ETH CAS in Digital Health equips participants with relevant knowledge and skills in engaging with Digital Health research, business models, and targeted applications.

Parts of the ETH CAS in Digital Health are nominated for the prestigious KITE Award 2022, which is dedicated to teaching projects and initiatives developed at ETH during its semesters of remote teaching, and which further aims at recognising the exceptional commitment of lecturers during these challenging times and honours outstanding examples.

The Problem:

  1. We face a health and economic burden of chronic and mental health conditions.
  2. Today’s intervention paradigm does not appropriately target chronic and mental health conditions.
  3. Personalized human-delivered behavioural interventions are neither scalable nor financially sustainable.

Goal and Course Structure

The overall goal of this CAS is to support individuals interested in Digital Health to better understand the need, design, implementation and assessment of digital health interventions for chronic and mental health conditions that allow caregivers to scale and tailor long-term treatments to individuals at sustainable costs.

After the course, participants will be able to…

  1. to understand the relevance of digital health for the prevention and management of chronic and mental conditions
  2. to understand the key concepts of digital health interventions (e.g., states of vulnerability and receptivity, digital biomarker, health care chatbot and voice assistants)
  3. to name design and evaluation frameworks for digital health interventions
  4. to understand digital health business models
  5. to critically assess digital health interventions
  6. to design and validate a digital biomarker
  7. to design, implement and evaluate a smartphone-based and chatbot-delivered just-in-time adaptive intervention
  8. to discuss the opportunities and challenges of digital health interventions

4 Modules

1. Introduction to Digital Health

  • The health and economic burden of non-communicable diseases
  • Key characteristics of digital health interventions
  • Business models for digital health interventions

2. Assessing Digital Health Interventions

  • Design and assessment frameworks for digital health interventions
  • Preparation of digital health interventions
  • Optimization of digital health interventions
  • Evaluation of digital health interventions

3. Designing a Digital Biomarker

  • Overview and data collection methods for digital biomarkers
  • Analysis of complex data
  • Implementation of a wearable-based digital biomarker
  • Linking digital biomarkers with digital health interventions

4. Designing a Just-in-time Adaptive Intervention

  • Development of a conceptual model
  • Implementation of a smartphone‐based and chatbot‐delivered intervention
  • Intervention delivery, data collection and analysis
  • Results presentation and suggestions for improvement

Details

Start date: 7 February 2022

Duration: 12 months part-time

Teaching language: English

Time commitment: 15 ECTS: This reflects the overall workload of participants and corresponds to a weekly workload of around 8 hours. One ECTS credit represents 25 to 30 working hours. For details on ECTS credits, please visit: European Credit Transfer and Accumulation System (ECTS).

Teaching: Follows a hybrid model consisting of online teaching and in-person teaching blocks:

1 Online Teaching: The majority of content is delivered remotely and asynchronously using a virtual learning environment, allowing for flexibility and individual tailoring of learning to other commitments. Learning material and exercises are provided online via a learning platform. Regular coaching sessions will support participants with putting the learning into practice.

2 In-Person Teaching: The CAS will feature two 2-day retreats, at the start and at the end of the programme. The on-site retreats serve the purpose of providing networking, tailored support, group work and lectures from industry leaders in real time.

Interdisciplinary exchange: Group work and discussions form an integral part of the course and take place in-person as well as online. Group work projects include developing an individual digital biomarker, as well as working out a business idea for a specific target group in order to develop a smartphone-based and chatbot-delivered health intervention with MobileCoach (www.mobile-coach.eu), an open‐source software platform for digital interventions and ecological momentary assessments. At the end of the course, each group will pitch their business idea and digital health intervention at a second retreat.

Title

The title awarded to graduates of the programme will be “Certificate in Advanced Studies ETH in Digital Health”.

Course Prerequisites

  1. A completed Master-level degree in a relevant field such as social sciences, medicine, economics, or technological sciences.
  2. At least two years of postgraduate work experience in a relevant field.
  3. Advanced English language skills.
  4. The ability to understand and discuss scientific publications.
  5. Willingness and ability to cover the programme fees and additional costs.
  6. Ability to travel to the on-site seminar hotel retreats in Switzerland *
  7. Access to a computer with a large (external) display (15” or larger recommended) and Internet access that allows video and audio streaming (for online sessions).
  8. Access to a smartphone with either iOS 12 (or higher) or Android Version 8 (or higher).

*Unless the epidemiological situation in Switzerland or personal health reasons do not allow this. In such circumstances, an alternative online solution will be provided for individuals or for the entire cohort.

Fees and additional costs

Programme Fees:

  • Programme Costs: CHF 13’170.-
  • Tuition Fees: CHF 730.- (paid to ETH)
  • Total fees charged: CHF 13’900.-

Additional costs:

The below costs cannot be included in the tuition fees and will need to be paid by participants in addition to the tuition fees. Please note that these are approximate costs and are subject to change. Further updates will be provided.

  • Two in-person retreats at a seminar hotel in Switzerland: Approximately CHF 800.- in total.
  • Wearable device: Approximately CHF 250.- (subject to change as the specific model has not yet been finalised).

Additional Course Information

To learn more and apply for this course, please click on the links below:

ETH Course Description

Applications are open until November 30, 2021 via the following link:
ETH Application Portal eApply

If you have any further questions regarding the CAS in Digital Health or want to book your individual call for discussing the CAS in Digital Health, please contact Dr. Theresa Schachner.

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Summary

CAS ETH in Digital Health, ETH Zurich, Start: February 2022. Completion: February 2023.

Blended Learning, 15 ECTS credits

Lecturers
Prof. Dr. Tobias Kowatsch
Prof. Dr. Tobias KowatschScientific Director, Centre for Digital Health Interventions, ETH Zurich & University of St.Gallen, Switzerland; Lead Principal Investigator, Mobile Health Interventions, Singapore-ETH Centre, Singapore; Partner, Center for Technology and Behavioral Health, Dartmouth College, USA; Assistant Professor for Digital Health, University of St.Gallen
Dr. Filipe Barata
Dr. Filipe BarataHead of AI & Digital Biomarker Research, Centre for Digital Health Interventions
Prof. Dr. Felix Wortmann
Prof. Dr. Felix WortmannProfessor and Senior Lecturer, Institute of Technology Management, University of St.Gallen
Prof. Dr. Elgar Fleisch
Prof. Dr. Elgar Fleisch Chair of Information Management, Department of Management, Technology and Economics, ETH Zurich, and Chair of Operations Management, Institute of Technology Management, University of St.Gallen.
Prof. Dr. Florian von Wangenheim
Prof. Dr. Florian von WangenheimChair of Technology Marketing, Department of Management, Technology and Economics, ETH Zurich.
Contact Person
Dr. Theresa Schachner
Dr. Theresa SchachnerResearcher and Acting Executive Director, Centre for Digital Health Interventions, ETH Zurich & University of St.Gallen, Switzerland