Privacy Preserving AI for Telehealth Services with In-Clinic, Out-Patient and Home-Based Data Sources

  • Hayn, D. (Vortragender, eingeladen)
  • Dieter Hayn (Autor, eingeladen)

Aktivität: Vortrag ohne Tagungsband / VorlesungPräsentation auf einer wissenschaftlichen Konferenz / Workshop


During the past decade, several telehealth services for chronically ill patients have been established in Austria, which are integrated into routine clinical care. Since 2022, telehealth episode reports can be stored in Austria’s electronic health record (ELGA) in HL7 CDA format. While ELGA supports the linkage of a single patient’s data from various sources (hospital, telehealth service, general practitioner, etc.) during treatment, ELGA data from more than one patient cannot be pooled, as required during training in AI scenarios. Different ways to overcome this problem, such as privacy preserving record linkage (PPRL) and federated learning and their application in Austrian telehealth projects will be presented
Zeitraum1 Dez. 20222 Dez. 2022
EreignistitelSalzburg Digital Health and Prevention Days 2022

Research Field

  • Exploration of Digital Health


  • Telehealth Services
  • Home-Based Data Sources
  • Privacy Preserving AI
  • In-Clinic
  • Out-Patient