Utilizing Nordic Hospital Data Lakes to Characterize Real-World ASCVD Populations

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide, accounting for 17.9M deaths each year. The burden for the disease would be reduced enormously by secondary prevention in patients whom had an initial cardiovascular event. However, the risk factors amongst patients with exposure to cardiovascular events are not optimally controlled, nor is clear clinical data to identify and profile patients with re-occurring event easily available.

BC Platforms held a presentation recently at Bio-IT World Conference in Boston, showcasing

how they were able help a global pharma collaborator access real-world data (RWD) in Finland and Estonia in order to identify and characterize patient populations with atherosclerotic cardiovascular disease (ASCVD). Real World Data is increasingly being recognized as a critical capability that can benefit and accelerate the drug development lifecycle. In this particular case RWD was successfully used for identification of predictive factors for disease severity and patient outcomes.

Listen to the presentation now to gain valuable insights on this case study.