In collaboration with Data Fair and several other organizations we are working on two exciting projects, OSCAR and HedaX. The two projects combine different types of Real World Evidence such as public registry data, hospital data, and private patient data given with the patients’ consent. This data-driven combination of data can improve the medical treatment for the individual patients and support prediction of treatment effect and in the long run hopefully lead to increased prevention of diseases.
A secure storage and analysis of health data is vital to the development in health sciences. The OSCAR project uses valuable Danish health data to create a safe and secure virtual data platform for clinical and health economic use. The goal of this platform is to collect and utilize a variety of data types for a number of results, e.g. the development of new medicines, better personalized medicine, better use of public resources, etc.
HedaX is a clinical experiment using public registry data combined with consensually given personal data to improve treatment for patients. HedaX follows 1000 bipolar and cancer patients, and encrypts and analyses their data to understand their behavioral and economical patterns, and how these correlate with their treatment. Through these analyses, the goal is to get a better understanding of how lifestyle and treatment interplay, and to improve treatment for the benefit of both patients, hospitals and society.