Workshop 10

Challenges of Digitalization within Modern Health Systems (CD-MHS)

Workshop Description:

Modern technologies such as Artificial intelligence (AI) and Machine Learning (ML) are revolutionizing modern health systems, offering transformative potential to enhance patient care, improve clinical decision-making upon automated diagnosis tools, and to augment and improve healthcare operations. Participants will present and discuss various aspects of healthcare, from human-medicine to veterinary medicine and their interconnection with the environment, as stated in the “One Health” paradigm. In fact, for modern health systems, in addition to medical aspects also legal, technical, ethical, and socioeconomic aspects are of relevance, making the topic highly interdisciplinary.

Thus, the topics of the workshop include but are not limited to:

  • Prediction, prevention, and management of future pandemic threats
  • Legal and ethical aspects of digital methods in medicine
  • Medical data visualization
  • Communications system
  • Storing and analyzing medical data
  • Public health surveillance
  • Tele-medicine & Connected Health
  • AI in healthcare
  • Data privacy, algorithmic fairness in digital health

Target Audience:

Healthcare professionals, healthcare administrators, AI researchers, policymakers, and anyone interested in the intersection of AI, digital health, eHealth and modern health systems.

Workshop Format:

The workshop will employ a variety of engaging learning methods, including:

  • Expert presentations: Leading experts in AI and healthcare will provide in-depth presentations on various areas of digital health.
  • Interactive discussions: Participants will engage in facilitated discussions to explore the ethical considerations, challenges, and strategies for responsible systems.

Invited Speaker:

Christian Laucher - Notruf NÖ GmbH

Call for Participation:

We would like to invite the attendants to submit extended abstracts of original research or literature reviews highlighting the proposed workshop theme regarding the exploration of how Artificial Intelligence & Machine Learning will impact Health Systems. From the extended abstracts submitted a maximum of seven will be selected for presentation. The presentations should take up to seven minutes to present their abstracts to the workshop.

Workshop Schedule:

Wednesday March 27, 2024

Session 1:

09:00 - Opening - Chairs: Anna Pontel & Mark A.M. Kramer

09:05 - Keynote Address: - Chair: Peter M. Roth

Keynote Speaker: Christian Laucher - Notruf NÖ GmbH

  • “The Health Control Center – Notruf Niederösterreich”

09:50 - Contributed Talks - Chair: Mark A.M. Kramer

  • Christina Schwarz-Gsaxner - “Advancing Healthcare Through Open Science: StudierFenster and MedShapeNet”

  • Christian Gapp - “Multimodal Medical Disease Classification with LLaMA II”

Coffee Break - 10:30 - 11:00

Session 2:

11:00 - Contributed Talks: - Chair: Anna Pontel

  • Guenter Huhle - “Advancing emergency logistics management through technological innovation: the role of the EmergencyEye Technology”

  • Tesselina Späth - “Navigating the future of healthcare and public safety: Introducing DISPOFLEX a cloud-ready control room solution”

  • Peter M. Roth - VetSOS: Effectively Handling Veterinary Emergencies

11:45 - Panel Discussion - Chair: Peter M. Roth

  • Panel Topic: “Challenges for Modern Health Systems”


  • Christian Laucher,
  • Guenter Huhle,
  • Tesselina Späth,
  • Christina Schwarz-Gsaxner,
  • Peter M. Roth

Post Workshop:

The results and insights generated during the workshop are invaluable, and we are committed to sharing them with a larger audience to foster broader understanding and impact. We will publish the proceedings to disseminate the extended abstracts.


  • Dr. Mark A.M. Kramer - vetmeduni
  • Anna Pontel DVM. MSc. - vetmeduni