Topic:
d4Health –data driven decisions for digital health & care
Healthcare today is based on a plethora of digital data, including data directly collected by and from patients who are enrolled in telehealth programs or use wearables to track their physical
activity and lifestyle. Healthcare has thus become a data rich domain. To cope with this “Big Healthcare Data” new approaches for dealing with these data are needed, in order to supply healthcare professionals with actionable information.
The talk will present some of our approaches to deal with this domain, from clinical decision support algorithms for heart failure patients to a predictive modelling approach to prevent drop outs in a mHealth-based telediabetes program.
Biography:
Günter Schreier received the Dr. techn. and the Habilitation degrees in electrical engineering/biomedical informatics from the Graz University of Technology, Austria, in 1996 and 2008, respectively.
In 2003, he received an MSc degree in Communications and Management from the Danube University in Krems, Austria.
Following positions in research and industry, he is currently the Senior Scientist and Thematic Coordinator of the Predictive Health Information Systems research program with the AIT Austrian Institute of Technology GmbH.
Dr. Schreier has authored or co-authored more than 300 scientific publications and presentations and teaches at three Universities in Graz and Vienna. His areas of expertise and research interests are in biomedical informatics, interoperability-based ICT infrastructures
for biomedial research, mHealth and predictive modelling.
Dr. Schreier is currently the Secretary General of the Austrian Society of Biomedical Engineering, the head of the working group “Medical Informatics and eHealth” of the Austrian Computer Society. Since 2007 he serves as the founder and president of the annual
scientific conference on “Health informatics meets eHealth” in Vienna.