|Abstract||Digital Health is the use of information and communication technology for the prevention, management and treatment of diseases. It covers topics such as digital health interventions (DHIs), digital biomarker research, digital coaches and healthcare chatbots, telemedicine, mobile and wearable computing, self-tracking, personalised medicine, connected health, smart homes or smart cars.|
|Objective||At the intersection of information systems research, computer science, behavioural medicine, and health economics, this CAS module has the objective of helping participants better understand the relevance and key characteristics of DHIs.|
After the course, students will be able to:
1. understand the relevance of DHIs for the prevention and management non-communicable diseases (NCDs)
2. understand key characteristics of digital health interventions (e.g., states of vulnerability and receptivity, digital biomarker, health care chatbots and voice assistants)
3. understand digital health business models.
|Content||The first module of the CAS in Digital Health provides an overview of the global epidemic of non-communicable disease (NCDs). Digital Health interventions (DHIs) are introduced as one approach of offering better support and treatment to people affected by NCDs. How can DHIs be leveraged in healthcare and in private capacity? To this end, the most important business models for DHIs are analyzed.|
The topics are:
1. The health and economic burden of NCDs
2. Key characteristics of of DHIs
3. Business models for DHIs
This CAS module consists of live sessions and complementary online lessons. Live input sessions are used to introduce and discuss the course topics. Complementary learning material (e.g., video and audio clips), multiple-choice questions and individual exercises are provided online to deepen the knowledge acquired in the input sessions.
|Literature||1. Cohen AB Dorsey ER Mathews SC et al. (2020) A digital health industry cohort across the health continuum Nature Digital Medicine 3(68), 10.1038/s41746‐020‐0276‐9|
2. Collins LM (2018) Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST) New York: Springer, 10.1007/978-3-319-72206-1
3. Coravos A. Khozin S. and K. D. Mandl (2019) Developing and Adopting Safe and Effective Digital Biomarkers to Improve Patient Outcomes Nature Digital Medicine 2 Paper 14, 10.1038/s41746‐019‐0090‐4
4. Fleisch E Franz C Herrmann A (2021) The Digital Pill: What Everyone Should Know about the Future of Our Healthcare System, Emerald Publishing: Bingley,UK, 10.1108/9781787566750
5. Katz DL Frates EP Bonnet JP Gupta SK Vartiainen E and Carmona RH (2018) Lifestyle as Medicine: The Case for a True Health Initiative American Journal of Health Promotion 32(6), 1452-1458, 10.1177/0890117117705949
6. Kvedar, JC, Fogel AL, Elenko E and Zohar D (2016) Digital medicine’s march on chronic disease Nature Biotechnology 34(3), 239-246, 10.1038/nbt.3495
7. Kowatsch T Otto L Harperink S Cotti A Schlieter H (2019) A Design and Evaluation Framework for Digital Health Interventions it ‐ Information Technology 61(5‐6), 253‐263, 10.1515/itit‐2019‐0019
8. Kowatsch T Fleisch E (2021) Digital Health Interventions, in: Gassmann O Ferrandina F (eds): Connected Business: Creating Value in the Networked Economy, Springer: Berlin, 10.1007/978-3-030-76897-3_4
9. Kowatsch T Schachner T Harperink S et al (2021) Conversational Agents as Mediating Social Actors in Chronic Disease Management Involving Health Care Professionals, Patients, and Family Members: Multisite Single-Arm Feasibility Study, Journal of Medical Internet Research (JMIR) 23(2):e25060 10.2196/25060
10. Kowatsch T Lohse KM Erb V et al (2021) Hybrid Ubiquitous Coaching With a Novel Combination of Mobile and Holographic Conversational Agents Targeting Adherence to Home Exercises: 4 Design and Evaluation Studies, Journal of Medical Internet Research (JMIR) 23(2):e23612, 10.2196/23612
11. Nahum‐Shani I Smith SN Spring BJ Collins LM Witkiewitz K Tewari A Murphy SA (2018) Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support, Annals of Behavioral Medicine 52 (6), 446‐462, 10.1007/s12160-016-9830-8
12. Sim, I. (2019) Mobile Devices and Health, The New England Journal of Medicine, 381(10), 956‐ 968, 10.1056/NEJMra1806949
|Prerequisites / Notice||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).
|Subject-specific Competencies||Concepts and Theories||assessed|
|Techniques and Technologies||assessed|
|Method-specific Competencies||Analytical Competencies||assessed|
|Media and Digital Technologies||assessed|
|Cooperation and Teamwork||assessed|
|Personal Competencies||Creative Thinking||assessed|
|Self-direction and Self-management ||assessed|