13th Annual Conference on

Health Informatics meets Digital Health

28.-29. May 2019, Schönbrunn Palace, Vienna, Austria

more details coming soon ...

eHealth2018 in Review

This year's motto was: "Biomedical meets eHealth - From Sensors to Decisions"
Thank you for your participation and we hope to see you at dHealth2019 again!

Scientific Conference


Submit your scientific paper to the eHealth2018

Accepted papers will be indexed
in PubMed

Digital Health Conference


How are results from scientific research applied in real-world scenarios

Discuss your ideas with healthcare professionals
and decision makers

The eHealth20XX conference series has been organized by the AIT Austrian Institute of Technology and the Austrian Working Group of Health Informatics and eHealth since 2007 with different partner institutions involved (UMIT until 2016, HIMSS Europe in the eHealth Summits 2013 to 2017 ). Each year, this event attracts 300+ participants from academia, industry, government and health care organizations. In keeping with its motto, "Health Informatics meets eHealth", the event provides a platform for researchers, practitioners, decision makers and vendors to discuss innovative health informatics and eHealth solutions so as to improve the quality and efficiency of health care. It is the USP of this event that Research and Application meet as equals and provide new insights from both the scientific as well as the practical point of view.

Starting in 2016, the primary conference language of the Scientific Tracks  is English in order to address the increasingly international focus of eHealth and to acknowledge the importance of cross-border health ICT. In Application Tracks, speakers have a choice between German and English.

A special topic for eHealth2018 will be “Biomedical meets eHealth - From Sensors to Decisions”. Future ICT systems and biomedical systems and devices will increasingly be intertwined and share a common entity which is data. This completes the chain and flow of information from the sensor via the processing to the actuator, which can be anything from a human healthcare professional to a Robot. Along this pathway, methods for automating the information processing like machine learning and predictive analytics will play an increasing role in order to provide actionable information and to support preventive health care concepts, in both biomedical and digital healthcare systems and applications.



See more photos at the photo galery of last year's eHealth Summit Austria, which also hosted the eHealth2017 conference.


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