Keynote by Dr. Smeddinck on Generative AI in Personalized Digital Health and Prevention, 1 April 2025
Tuesday, 01 April 2025, 4.15 pm CET, ZOOM
About Jan Smeddinck
Building on his background in interaction design, human computation, serious games, web technologies, adaptive systems, machine learning, and visual effects, Jan Smeddinck is a human-computer interaction (HCI) researcher and practitioner with a passion for digital health. He is the current scientific Co-Director and Principal Investigator for the research groups in digital health interventions and data analytics at the Ludwig Boltzmann Institute for Digital Health and Prevention. He has formerly led the Digital Health Cluster at Open Lab and acted as Degree Programme Director for the MSc in Human-Computer Interaction at the School of Computing at Newcastle University.
About the Lecture
Generative AI in Personalized Digital Health and Prevention: Exploring Potentials from Patient-Generated Health Data Sensemaking to Context-Aware Behavior Change Support
This presentation explores the intersection of generative AI and digital health, highlighting how AI technologies are revolutionizing healthcare delivery and personalization, including:
- The growing importance of digital health solutions in addressing challenges of aging populations and chronic diseases
- How AI enables personalized healthcare interventions that adapt to individual needs and contexts
- Research on Just-in-Time Adaptive Interventions (JITAIs) that provide timely support for patients
- The potential of generative AI in helping navigate increasingly complex multimodal (patient-generated) health data
- Key concerns including accountability, responsibility, and human-AI interaction patterns
The talk balances technological optimism with ethical considerations, emphasizing that generative AI offers unprecedented opportunities for personalization in healthcare while maintaining that human oversight remains essential. Worked applied research examples from the Ludwig Boltzmann Institute for Digital Health and Prevention serve to underline the points, including recent research showing how AI models can generate appropriate health interventions across different patient personas and contexts, potentially transforming how we deliver personalized healthcare at scale.
We are pleased to invite you to join this guest lecture, which is part of our CDHI Lecture Series Digital Health Forum. Registration is not required. Please be aware that we will be recording this guest lecture and will be making it available in our teaching library. If you have any questions, please contact Victoria Brügger (victoria.bruegger@unisg.ch) prior to the start of the guest lecture.
Prof. Dr. Tobias Kowatsch, Associate Professor for Digital Health Interventions, Institute for Implementation Science in Health Care, University of Zurich; Director, School of Medicine, University of St.Gallen (HSG); Scientific Director, Centre for Digital Health Interventions (CDHI), ETH Zurich & HSG; Principal Investigator, Future Health Technologies programme, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore-ETH Centre, Singapore
Prof. Dr. Elgar Fleisch, Professor of Information Management, ETH Zürich; Professor of Technology Management, University of St.Gallen; Advisory Board Member, CDHI, ETH Zürich & University of St.Gallen; Principal Investigator, Future Health Technologies programme, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore-ETH Centre, Singapore
Prof. Dr. Florian von Wangenheim, Professor of Technology Marketing, ETH Zurich & Advisory Board Member, CDHI; Principal Investigator, Future Health Technologies programme, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore-ETH Centre, Singapore
