The main aim of the Linked2Safety project is to explore the Semantic Web and Linked Data to facilitate semantic interlinking of electronic health records (EHRs) and clinical trials systems for gathering and sharing knowledge to support decision making in medical and clinical research. The vision is to facilitate early detection of patients’ safety issues, the identification of adverse events and the identification of a suitable critical mass of patients to participate in small (Phases II and III) or larger scale (Phase IV) clinical trials.

Our role is focused on the design of an interoperable EHR data space and development of bio-marker data mining techniques for adverse events early detection. We will also provide several clinical trials showcases and organise the Clinical research and patients safety Special Interest Group.