Increased production of biomedical and wellness data has brought about an equivalent growth in the possibilities and opportunities around knowledge discovery and data-driven innovation within the health sector. Patient data, leveraged through the use of advanced analytics and AI-based algorithms, offer tremendous potential for personalised medicine approaches, attaining early diagnostics, effective risk assessment and patient stratification, and novel treatments tailored to individual patients’ features. At the same time, though, the legitimate processing of such data for purposes other than diagnostic and treatment of the immediate patient remains controversial, especially where it is not clearly linked to the explicit consent of the data subject. To address these concerns, innovative solutions are being developed in the sector to minimize re-identification risks involved in the secondary usage of collected data. How can control and risk be managed in secondary usage of health data in an age of data-driven innovation?
Presentations in this session:
- Keeping control and minimizing risk in secondary usage of health data by Nicolo Zingales
- The Internet of Things and the future of the web by Joss Langford
- Sharing data securely: reality or myth? by Anna Rizzo and Anamaria Vizitiu
- Salus Coop: Citizen Data Cooperative for Health Research by Javier Creus
Presenters and host: