Moderation – Jakob Doppler, Academic Director Master Digital Healthcare & European Joint Master Citizen-Centered Digital Health and Care, Director CDHSI – Center for Digital Health and Social Innovation

13:05 – 13:30 Keynote – The Mission of (Future) Healthcare – Who is in it, what needs to be left behind?
Christine Spernbauer (AT), Innovation and Strategy Manager, Future Health Lab Vienna
The Future Health Lab is Austria’s innovation hub for healthcare – a place where key stakeholders come together not just to exchange ideas, but to co-create solutions for the country’s most pressing health system challenges.

13:35 – 13:50 Digital Healthcare Careers I – Private Public Partnerships and its Role in Designing the Healthcare Future

Doris Kraushofer, Department Lead Digital Product Management, Mavie Med & Board Member of the Austrian Society for Nursing Informatics (ÖGPI)
With a background in clinical risk management and process optimization, she plays a pivotal role in driving innovation and efficiency in healthcare organizations. In her talk, she will discuss why roles like hers—focused on digitalization and process responsibility—are becoming indispensable in private healthcare, how organizations like Mavie Health are evolving, and why these developments are a vital (and sometimes controversial) piece of the future healthcare puzzle.

13:50 – 14:05 Digital Healthcare Careers II – Innovation from the System Within – The Role of a Healthcare Manager the IT Services of the Austrian Social Insurance (ITSV) 

14:05 – 14:25 Digital Health Students Pitches – Part I (5 min each)

• 🧘 PrepWith – Streamlining Therapy Starts: Smarter Prehab for Patients and Providers A digital tool that simplifies prehabilitation before physical therapy, helping patients prepare effectively and therapists optimize their treatment strategies.
• 🍽️ NudgeMe – AI-based Meal plate assessment and behavioral nudging for healthier eating This health-promotion app uses vision AI-based meal plate assessment and behavioral nudges and personalization to encourage users to adopt and maintain balanced eating habits.
• 🤖 1450 Navigator – AI-Powered Health Guidance Right When You Need It.
  An AI-driven chatbot that supports users in making informed decisions about their health concerns, helping reduce unnecessary emergency calls and visits.
• 🏃 MotionXpert – Computer vision for assessing range of motion in physical assessment and therapy A cross-platform application providing vision-based accurate, real-time shoulder range of motion tracking aiming at replacing goniometers with higher rate of a accuracy —empowering patients and therapists alike during rehabilitation.
• 🧠 Panic Companion Ai-based panic and stress assessment with wearable-based multimodal digital biomarkers (such as HRV, posture, gait etc) and coping strategies. A mobile interactive, empathetic support tool designed to help users recognize and manage panic attacks through guided exercises and psychoeducation.

• RadQuest – Mobile Learning Game for Radiography Students
  Teodora Randelovic, Ahmed Hussein + Team: Israa El-Sayed, Serife Oeztuerk, Ulrike Schwertberger, St Pölten UAS 
  This mobile app is transforming radiography education into a fun, interactive game. Perfect for students, educators, and medical imaging pros, RadQuest makes complex concepts easy and enjoyable. With our gamified approach, studying becomes a game you’ll love. Revise on the go and level up your learning anytime, anywhere.
  Join the RadQuest community today and elevate your radiography education!
• eLLMoH – Enabling Large Language Models in the Organization of Hospitals
  Katharina Weiser, Andreas Steinbacher + Team: Matea Jelica, Dominik Mayrhofer, Frederik Schwomma, Qendresa Visoka, Sandra Zwick, St Pölten UAS
  Imagine an emergency room where voice assistants handle paperwork, enabling healthcare staff to focus on patient treatment. The eLLM-oH project uses AI to automate tasks, reduce workload, and improve support. This includes voice-based admission forms, multilingual capabilities, and self-service registration. The initial focus is on improving documentation efficiency in emergency rooms, with the potential to expand across healthcare.
• TheraNote – Streamlined Documentation for Physiotherapists in Austria
  Dario Moratti, Lukas Oppenauer + Team: Bernhard Wirlach, Miriam Kalkgruber, Fazia Elfakharany, St Pölten UAS TheraNote tackles fragmented physiotherapy records by seamlessly integrating with Austria’s ELGA system. We propose a standardized ELGA schema for flexible and thorough documentation. An embedded application streamlines documentation within ELGA, fostering consistent, traceable records for improved patient care and data accessibility.
• MS-AiD – Simplifies Your Journey through Multiple Sclerosis
  Anna Grötzschel, Rebecca Mittermaier, St Pölten UAS
  Imagine struggling with multiple sclerosis (MS) and feeling overwhelmed by the daily challenges posed by a variety of symptoms. Finding the right tools and specialists can be a maze. That’s where MS-AiD steps in. It’s your personalized MS companion, offering a one-stop shop for managing your condition. MS-AiD empowers you with two main tools: an App Finder to discover helpful apps based on your specific needs, and a Specialist Finder to connect with local specialists for targeted support. Forget sifting through endless options – MS-AiD tailors your complex journey and makes it easier than ever to take control of your MS.

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14:35 – 15:05 30-min Coffee & Networking Break

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15:05 – 15:30 Keynote III – Accelerating Medical XR Development with Generative AI

George Papagiannakis (CH), Co-founder and CEO of ORama.VR, Professor at University of Crete, Researcher FORTH, Visiting Professor University of Geneva

George Papagiannakis is a computer scientist specializing in computer graphics systems, extended reality algorithms and geometric computational models for enhanced human-computer interaction. He is co-founder and CEO of ORamaVR, a Swiss deep-tech spatial-computing startup with the mission to accelerate the world’s transition to medical XR training. He is also Professor of Computer Graphics at the Computer Science department of the University of Crete, Greece, Affiliated Research Fellow at the Human Computer Interaction Laboratory of the Institute of Computer Science in the Foundation for Research and Technology Hellas,  Greece, and Visiting Professor of Computer Science at the CUI, University of Geneva, Switzerland.

15:30 – 15:40 Deep Dive #2 – Digitizing Neuropsychology with Cognitive Insights based on Eye-Tracking
Julia Kern (AT), Co-CEO Somareality
Julia Kern co-leads SOMAREALITY, a company that aims to revolutionize neuropsychology by leveraging eye-tracking data to gain comprehensive brain insights and unlock human potential. SOMA’s technology is currently being applied in select B2B use cases and promising research partnerships.

15:40 – 15:50 Deep Dive #3 – Personalising Immersive Digital Therapies for Anxiety Disorders through AI
Frank Scharnowski (AT), Professor at Faculty of Psychology, University of Vienna
Frank Scharnowski has an interdisciplinary background in Artificial Intelligence and Cognitive Neuroscience. He is Head of the Department of Cognition, Emotion, and Methods in Psychology at the University of Vienna. His research focuses on translational methods development for neurological and psychiatric disorders, including brain-computer interfaces, computational modeling, data science, machine learning, and computational psychiatry.

15:50 – 16:00 Deep Dive #4 – Investigating User Acceptance of Spatial Computing for Person-Centred Care
Matei Capatu (AT), Scientific Associate Academy for Ageing Research at Haus der Barmherzigkeit & Michael Kaindleinsberger (AT), Arbeiter-Samariter-Bund Upper Austria / Linz
Matei Capatu and Michael Kaindleinsberger are experts in end-user acceptance who joined forces to examine user feedback from the field-testing of a “Smart Companion” in senior residents’ apartments. AI-driven appliances such as vacuum cleaner robots are increasingly common in households, yet they have the potential to do much more than just clean floors. These devices, equipped with a vast array of sensors and substantial computing power, could detect potential falls and call for help in emergencies. When combined with voice assistants and LLM-based chatbots, they could serve as the foundation for autonomous care companions.

16:00 – 16:45 Inspiration Chat by Digital Makers Hub: The Chatbot Will See You Now – Real World Caretaking Or Virtual Reality Treatment?
Host: Vanessa Leung (AT/CH), Center for Digital Health and Social Innovation, St. Pölten UAS
Discussion with the panelists, Gabs Chihan-Stanley, Nina Dalkner, Nils Berger, and Anca Petre

16:45 – Open Networking