Catherine Collin
MD, Senior Executive Consultant, University of Copenhagen - EU-STANDS4PM
MD, CPE/LPC, MA Oxon. Medical doctor with extensive legal and clinical experience, working in the intersection of medical, ethical/legal and bioinformatics research at the NNF-CPR Brunak lab research group, Faculty of Health and Medical Sciences, Copenhagen University, Work package leader for WP2 for the EU Horizon 2020 project ETStands4PM.
Catherine is speaking at
Application Track 2 - Health
November 5, 2020
10:00 am - 11:30 am
Speakers
- Klemens Budde (Chair) Charité Universitatsmedizin Berlin/Plattform Lernende Systeme
- Milan Petkovic (Chair) AI & Data Science Department Head, Philips
- Thomas Wiegand (Speaker) Professor / Executive Director, TU Berlin / Fraunhofer Heinrich-Hertz-Institute
- Ioana-Maria Gligor (Speaker) Head of Unit European Reference Networks and Digital Health, European Commission - DG SANTE
- Catherine Collin (Speaker) MD, Senior Executive Consultant, University of Copenhagen - EU-STANDS4PM
- Jan Baumbach (Speaker) Professor and scientific coordinator, Technical University Munich - Feature Cloud
- Edwin Morley-Fletcher (Speaker) President - Project coordinator, Lynkeus
- Christos Xenakis (Speaker) Professor - Project coordinator, University of Piraeus - CUREX
- Maria-Esther Vidal (Speaker) Head of the Scientific Data Management Group and Professor, German National Library of Science and Technology (TIB)
- Veronika von Messling (Speaker) Director General, Life Sciences Division, Federal Ministry of Education and Research
Description
When innovation learns from the best data available, health outcomes for patients improve. This is why, in the age of artificial intelligence, digitized data has become the key driver for innovation in healthcare. Furthermore, availability of health data across European countries accelerates the scale and scope of innovation. However, while there are huge amounts of data across hospitals, insurances and practices, there is lack of integration. As a result combining and exchanging data from various sources to develop innovative applications is a challenge. Moreover, legal and technical prerequisites for privacy-preserving data sharing are not implemented sufficiently in most European countries.
The focus of EBDVF health track is on European health dataspaces, healthcare applications as well as post-COVID healthcare systems. It will bring together representatives from the most important European health data initiatives to discuss lessons learned from previous projects, joint positions and possible roadmaps for European health data infrastructures and applications.
Additional resources:
- Application scenarios for AI in Oncology: https://www.plattform-lernende-systeme.de/application-scenarios.html
- Report of the Plattform Lernende Systeme (PLS) working group 6 “Health Care, Medical Technology, Care": https://www.plattform-lernende-systeme.de/files/Downloads/Publikationen_EN/AG6_Executive_Summary_final_200206.pdf
- Summary of the whitepaper on Secure and safe AI Systems in Medicine: https://www.plattform-lernende-systeme.de/files/Downloads/Publikationen_EN/AG3_6_Whitepaper_Executive_Summary_200610.pdf
- Map on AI in Germany: https://www.plattform-lernende-systeme.de/map-on-ai.html
European Big Data Value Forum
Nov 3 - 5, 2020
Nov 3 - 5, 2020
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