European Commission satellite workshop
Following the conference, the Health Directorate of the Directorate-General for Research and Innovation at the European Commission is organising
'Big data in health research: an EU action plan''
on the 30th October 2015
in the Hotel Légère in Munsbach, Luxembourg
The workshop will showcase EU investment related to big/complex/deep data in health research and innovation. It aims to cover the whole supply chain of data generation, data handling and analysis, through to data use for prediction – prevention – treatment – care. The workshop will scope the strategic innovation agenda for big data in personalised medicine for Europe.
The workshop is limited to 70 participants, mainly coordinators of FP7, H2020 including IMI projects.
If interested please send an e-mail to RTD-BIG-DATA@ec.europa.eu
|08:30-09:00||Registration and welcome coffee|
Welcome by the Chair
Speaker: Giulia Del Brenna, Deputy Head of Cabinet, Cabinet of Commissioner Carlos Moedas,
|09:15-10:45||From bench to bedside: Maximizing the quality of health data|
- advancing exchange, standardisation, interoperability, integration, analysis and visualisation of pre-clinical and clinical data
- innovative applications of new tools/models and methods for multi-scale data analysis
|11:00-12:30||Big data analytics for Prediction – Prevention – Treatment – Care:|
- Integrating clinical data with big data
- continuous flow of patient generated health data: quality control & data storage & management
- interoperability between electronic health care records and mHealth and eHealth technologies
- big data analytics for better clinical decision making (treatment decisions & response assessment)
- big data analytics for improving health systems performance
Wrap up: action list to overcome the challenges and bottlenecks
- obstacles encountered by European (research) teams and discuss potential solutions;
- potential areas for cross-project collaboration among European researchers, clinicians,...
- identify the most urgent needs for improving use of ''big'' data in health research, clinical practice and healthcare.