Pilots overview

To make sure that BigMedilytics concepts scale across Europe, the project is composed of 12 pilots that are distributed over three themes which have the greatest impact on the sectorPopulation Health and Chronic Disease Management, Oncology and Industrialization of Healthcare Services.

The first two themes together cover 78% of all deaths in from non-communicable diseases (non-infectious or non-transmissible) in Europe. All the pilots in these two themes collectively cover the entire Health Continuum. The third theme focuses on optimizing workflows in a hospital. This theme represents hospital operations and equipment cost, thus covering around 33% of the total cost of healthcare spending.

The learnings captured from the pilots are used to define a Blueprint (known as BigMedilyticsBigMatrix) which describes the best practices that need to be followed both from a technology and health policy perspective when rolling out big data solutions for the Healthcare sector in Europe.

  • Population Health and Chronic Disease Management

    Chronic diseases are the leading cause of mortality and morbidity in Europe. Currently strategies to manage such patients often involve sending them to secondary care institutions (involving medical specialists in hospitals).  This results in higher costs to patients, reduces access to secondary care, e.g. by introducing long waiting for critical patients and impacts quality as staff are overwhelmed by the flood of patients. This theme, involving 5 pilots, demonstrates how Big Data Analytics can be used to reduce the burden on the healthcare system by ensuring that only critical patients are sent to secondary care whereas non-critical patients are attended to by primary care.
  • Oncology

    With more than 3.7 million new cases and 1.9 million deaths each year, cancer represents the second most important cause of death and morbidity in Europe. The economic burden of cancer in the EU was €126 billion in 2009. This theme consists of three pilots that address three of the top four cancer types with the highest economic burden in the EU1: prostate, lung and breast cancer. The three pilots demonstrate how Big Data Analytics can be used to enable personalized medicine and treatment in order to reduce complications and thus improve productivity and quality of treatment.

    1 Source: Luengo-Fernandez, R., Leal, J., Gray, A., & Sullivan, R. (2013). Economic burden of cancer across the European Union: a population-based cost analysis. The Lancet Oncology, 14(12), 1165–1174.

  • Industrialitzation of healthcare services

    This theme consists of four pilots involving various time critical workflows within a hospital which have the highest impact not only on productivity but quality of care. The pilots demonstrate how productivity within the hospital can be significantly improved (20-30%) by optimizing workflows.The first two pilots focus on efficiently treating patients suffering from hyper acute conditions such as stroke and sepsis where every lost minute can severely affect a patient’s survival and length of rehabilitation. The third focuses on locating mobile assets and the final pilot optimizes workflows in the radiology department.