Moderator Florian Aigner (AT), Florian Aigner is a physicist, scientist and science author. He works as a science editor at the TU Wien and writes as a freelance journalist for numerous media. Among other things, he has written the Austrian science book of the year 2018.

13:10 – 13:35 Keynote – The Patients Voice in Healthcare – How Health Outcomes Observatories Strengthen Patient Empowerment and Care in Europe

Tanja Stamm (AT), Professor for Outcomes Research at Medical University of Vienna and Health Outcomes Observatory (H2O) Lead
Launched in 2020, the Health Outcomes Observatory (H2O) project will, for the first time across Europe, bring together outcomes reported by patients (PROs) with the corresponding clinical outcomes collected on a large scale in (initially) four countries and four disease areas. H2O aims to establish a culture of continuous measurement of outcomes across the health care ecosystem, incorporating these measures into the process of routine care and allowing for the ongoing assessment of medicines and other technologies through their lifecycle.

13:35 – 13:55 Keynote II – Digitize Patient Interactions With a Platform-As-A-Service Approach and Data-Driven Insights

Lukas Seper (AT), Co-founder and Head of Growth at XUND.ai
The need for digital, data-driven healthcare has never been more evident. Problems with data management and sharing as well as the lack of reliable long-term data slow down medical treatments. How can digital solutions make the patient journey more effective from start to finish, saving resources while providing patients with reliable decision support?

13:55 – 14:15 Digital Health Students Pitches – Part I (5 min each)

• Signs of Life – Basic life support for people with severe hearing impairment
  Zvetelina Kren, Christoph Plank
  +Team: Christine Naschenweng, Lisa Pitzl, Michael Plank, Lucas Wohlmuth, St Pölten UAS
  An application for people with severe hearing impairments (SHI) to learn, repeat and deepen their knowledge about basic life support in an adapted way catered to their needs and additionally to get the possibility to review the content in a playful way. To support the learning experience videos with subtitles and sign language interpreters as well as text information will be implemented.
• Voice Assisted Patients
  Julia Böck, Tobias Eder
  +Team: Theresa Hillebrand, Patrick Kramml, Marco Sonnberger, St Pölten UAS
  It is important to get a fast overview of your patients’ health data. In this session, you will hear about a new way of documenting and displaying data, starting with the patient themselves with a voice assistant and continuing for the health professional with a QR-Code. You need faster access to your patients’ health data and you are curious how voice assistants and QR-Codes might play a role in this? Then this session is for you!
• MedBuddy – Breaking Language Barriers In Healthcare
  Julie Regondique, Markus Ochsenhofer
  +Team: Silvia Angjeliu, Nadine Heckenast, Joanna Malec, St Pölten UAS
  MedBuddy is a software that assists both healthcare professionals and patients when they don’t share the same language. It is a tool that offers translated common phrases used in radiology settings to improve patients’ understanding and adherence to examination protocol. MedBuddy goes beyond simple translation: a virtual human explains, informs and instructs audibly, visually and in text. The information part is complemented with a digital questionnaire suited for the required examination.

14:15 – 14:45 30-min Coffee & Networking Break

14:45 – 15:05 Accelerating Radiology Imaging Workflows With Relevant Clinical Context on AWS
Christoph Russ (CH), Technical Program Manager – Healthcare, Amazon Web Services EMEA Sarl
AWS empowers radiologists, health systems, and research teams increase the pace of innovation, unlock the potential of imaging data, develop more personalized approaches to care delivery, and improve cost and operational efficiency. Moving medical imaging data to the cloud allows clinicians to employ machine learning (ML) to support anomaly detection that speeds diagnosis and improves patient outcomes.

15:05 – 15:20 How AI Can Support Healthcare Providers to Do Better Resource Planning
Andreas Diensthuber (AT), CEO DAPHOS.ai
The presentation will deal with the questions:

1. How AI can support healthcare providers ensuring that the right number of people, with the right skills, are at the right place at the right time to deliver the right services to the patients
2. Why this matters

15:20 – 15:35 Digital Health Students Pitches – Part II (5 min each)

• iStopFalls
  Ines Seidl, Magdalena Druml
  +Team: Flora Hamar, Alexander Dellert, Maximilian Puhr, St Pölten UAS
  Most in-hospital falls occur while patients are leaving their beds. What if there was an efficient way to prevent falls and support medical staff at the same time? That’s why we developed ‘iStopFalls’: If a patient is at risk of falling, a sensor detects their attempt to get up and activates a smart speaker, engaging the patient in conversation and saving precious time until a nurse arrives to provide assistance. Join us for an exciting presentation on iStopFalls, where we’ll showcase the technology and explain how it can revolutionize hospital fall prevention, enhance patient safety, and support medical staff.
• IdentifAI – Kidney Stone, Cyst and Tumor Detection on CT images
  Wimmer Vanessa, Fiedler Fabian
  Have you ever had a long wait to get your diagnosis? Have you experienced the problem of late detection of a disease?
  IdentifAI, an AI model that can detect stones, cysts, and tumors in the kidneys of a patient on CT scans, helps mitigate these issues.
  The goal of this project is to shorten the time it takes to identify stones, cysts, and tumors in the patient’s kidneys. The process can also be run autonomously on any CT scan, even if the doctor is looking for something different. This way, illnesses can be detected early and treated before they become noticeable problems.
  To provide unrestricted access to this technology, the AI model is optimized to run efficiently on the average hospital computer.
  We believe this technology has great potential for the future of the medical sector and can drastically improve the quality.

15:35 – 16:00 Inspiration Chat by Digital Makers Hub: Premises and Promises of

 Data-driven Healthcare – Why should Patients Care? with the panelists Barbara Chaloupek Tanja Stamm, Lukas Seper, Andreas Dienstuber & Christoph Russ

Moderation: Eva Turk (AT), Senior Researcher at the Center for Digital Health and Social Innovation, St. Pölten UAS

16:00 – Open Networking