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Workshop on Emerging Business Models in Digital Health - Scale-IT-up 2024

21 - 23 February, 2024 - Rome, Italy

In conjunction with the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2024


Kai Gand
TU Dresden
Brief Bio
Dr. Kai Gand studied Business Information Systems at TU Dresden where he also received his doctoral degree in 2019. He is currently a postdoctoral fellow at the Chair of Business Informatics. His primary research interests include business models, business modelling and health information systems in general. He is engaged in nationally and European funded projects on digitalisation in healthcare, project manager of a Horizon 2020 project and part of a research group that investigates the digital transformation of healthcare systems overall.
Mia Jovanova
University of Pennsylvania, Philadelphia
United States
Brief Bio
Mia Jovanova is an upcoming graduate at the Communication Neuroscience Lab. Her dissertation aims to develop personalized models from intensive smartphone sampling, with the goal to improve health behavior prediction. Her other work draws on experimental, neuroimaging, and social network methods to develop digital behavior change interventions. More recently, she is also excited about understanding legitimacy in health contexts, and metascience questions of how to improve scientific credibility. Prior to joining the lab, Mia worked at the health communication lab at Cornell University, where she graduated in 2017. Prior to her scientific pursuits, Mia played competitive tennis, representing North Macedonia, and competed in more than 30 countries around the world. Following graduation, Mia will be a Scientific Director leading the CSS Health Lab at the University of St. Gallen and ETH Zurich in Switzerland. The CSS Health Lab will focus on developing new digital biomarkers to improve the prevention and management of non-communicable diseases, at the intersection of medicine and artificial intelligence
Tobias Kowatsch
University of Zurich, University of St. Gallen & ETH Zurich
Brief Bio
Prof. Dr. Tobias Kowatsch is Associate Professor for Digital Health Interventions at the Institute for Implementation Science in Health Care, University of Zurich (UZH), and Director at the School of Medicine, University of St.Gallen (HSG). He is also the Scientific Director of the Centre for Digital Health Interventions (, a joint initiative of UZH, HSG, and ETH Zurich. Moreover, Dr. Kowatsch is an advisor to the Center for Technology and Behavioral Health ( at Dartmouth, USA, and Lead Principal Investigator for Mobile Health Interventions within the Future Health Technologies Programme at the Singapore-?ETH Centre. In close collaboration with his interdisciplinary team and research partners, Tobias designs digital health interventions (“digital pills”) at the intersection of information systems research, computer science, and behavioral medicine. He helped initiate and participates in the ongoing development of MobileCoach (, an open-source platform for ecological momentary assessments, health monitoring, and digital health interventions. He is also co-founder of the ETH Zurich and University of St.Gallen spin-off company Pathmate Technologies that creates and delivers digital clinical pathways. Tobias has a PhD in Management from University of St. Gallen, Switzerland, a Master of Science in Business Information Systems from Saarland University, Germany and a Master of Computer Science in Media from Hochschule Furtwangen University, Germany. He published his research in the Proceedings of the National Academy of Sciences (PNAS), Annals of Behavioral Medicine, Journal of Consulting and Clinical Psychology (JCCP), American Journal of Preventive Medicine, Journal of Medical Internet Research (JMIR), Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), JMIR mHealth and uHealth, Journal of Asthma & Allergy, Addictive Behaviors, Information Systems Journal (ISJ), and Computers in Human Behavior (CHB).


In the 21st century, we must deal with substantial health and economic burdens of non-communicable diseases, such as diabetes, hypertension, cancer, or asthma, and common mental disorders, such as depression and anxiety. These diseases are responsible for around 70% of all deaths worldwide and are estimated to result in an economic loss of $7 trillion between 2011 and 2025. To this end, healthcare delivery must rapidly change from traditional processes to scalable digital health technologies (DHTs), such as technology-supported blended care, patient monitoring, digital diagnostics, or digital therapeutics. On the one side, hospitals and healthcare providers introduce hospital information systems, electronic health records, and telemedicine solutions for more efficient workflows within and beyond institutions. Conversely, patients may choose among digital health applications provided by wearables and smartphones, supporting their well-being and disease monitoring or self-management.

However, how sustainable and scalable digital health implementation and diffusion can be reached is not sufficiently solved. Our workshop, therefore, aims to bring together practitioners and academics to discuss emerging business models in digital health. In general, we welcome position papers (up to 8 pages) and full research papers (up to 12 papers), case studies, and best practices. The workshop includes invited talks, paper presentations, and discussions.

We are especially interested in lessons learned and perspectives from health insurance companies and how they deal with the substantial health and economic burden. To this end, we encourage academics to partner up with a representative from a health insurance company and prepare a position paper according to this format: 1. Introduction (motivation on why emerging business models in digital health are required and short background information on the health insurance company, ca. 1 page); 2. Relevant questions (please pick and answer 3-5 questions; see, for example, the questions below, ca. 2 pages); 3. Conclusion (please discuss important related work and outline key messages and next steps, ca. 1 page).


Topics of interest include, but are not limited to:
  • How to make prevention successful?
  • How to make healthy longevity successful?
  • How to make healthy aging successful?
  • How to make elderly care successful?
  • How to cope with the economic burden of non-communicable diseases?
  • Which emerging business models in digital health are promising?
  • What needs to change in terms of regulations to make digital health successful?
  • What is the future role of a health insurance company?
  • Which digital health technologies (DHTs) are already used and reimbursed? In which fields? What are those offerings? How are these paid for? (self-paid, basic insurance, additional insurance, etc.)
  • Are you offering DHTs? Did you develop these DHTs yourself or are you partnering with startups or other companies?
  • Do you offer DHTs rather in the prevention or in the management of diseases?
  • For which diseases do you think we need DHTs most? Why? Where do you think DHTs will work best? (what kind of disease and persona)
  • What is your main goal of offering these DHTs? (new revenue streams, cost-efficiency, customer loyalty)
  • What is the importance of business ecosystems for these DHTs?
  • What kind of learnings did you generate so far? Are there DHTs that worked better than others? Why?
  • Could you already assess the effectiveness and/or efficiency of DHTs?
  • What kind of DHTs failed? What were the reasons?
  • How would you improve DHTs you are offering?


Paper Submission: November 1, 2023
Authors Notification: December 1, 2023
Camera Ready and Registration: December 22, 2023


Oscar Castro, Singapore-ETH Centre, Singapore
Panitda Huynh, University of St. Gallen, Switzerland
Jacqueline Mair, Singapore-ETH Centre, Singapore
Wasu Mekniran, University of St. Gallen, Switzerland
Estelle Pfitzer, MTIP, Switzerland

(list not yet complete)


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.
After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).


BIOSTEC Workshops - Scale-IT-up 2024