Nordic Life Science 1
BUSINESS PRESENTATION MEDAFFCON dating back to se
veral decades, hospital data lakes, and biobank infrastructures enable effective use of RWD. Information obtained from different data sources can be efficiently combined by using the national personal identity code -system, providing means to build coherent data entities. Constantly growing data sources provide new opportunities in e.g. developing diagnostics for rare diseases and planning clinical trials. RWD utilized for research and innovation may give benefit for the society in the assessment of treatment needs, paths, and costs, whereas a single citizen might benefit from RWE in the prevention of disease and development of new treatment methods. From a health economic point of view, RWE can be utilized to provide local resource and cost information and for comparison of costs and health effects between different treatments. It seems likely that we have only begun to understand the full potential of RWE and that many decisions will apply RWE in the future. A DVER T OR I A L READ MORE AT: Korolainen MA, Kurki S, Lassenius MI, Toppila I, CostaScharplatz M, Purmonen T, Nissilä M. Burden of migraine in Finland: health care resource use, sick-leaves and comorbidities in occupational health care. The Journal of Headache and Pain, 12;20(1):13, 2019. FACTS MEDAFFCON THE PREVALENCE OF MIGRAINE is from 4.8 to 6.3 percent among working age people. Migraine disease nearly doubles the number of healthcare visits and sickleave days, which is causing a burden on the health care system and society. More effective disease management and treatment would give benefit for the migraine patients. These results were obtained in recent real-world evidence (RWE) based study which was conducted in Finland. Exceptionally extensive and high-quality data resources in the health and social welfare sector make Finland an ideal country for RWE generation. Real-world evidence (RWE) is evidence obtained from the analysis of health-related data (also known as realworld data, RWD) generated during routine clinical practice. Health-related data is primarily used for the purpose for which it was generated, i.e., for treating patients. Secondary use means the use of this information for other, secondary purposes, such as research and statistics, innovation and development. RWD can come from several sources, for example from public and private social welfare and health care service providers, Finnish Institute for Health and Welfare, and Statistics Finland. Finland has unique opportunities in utilizing health-related RWE data generation. The national registries Medaffcon, established in 2009, provides research and expert services for the needs of the pharmaceutical and medtech industries, and the healthcare sector. Our activities are characterized by wide-ranging expertise, solid cooperation networks and the development of innovative solutions. Medaffcon is also known for its strong expertise in evaluating effectiveness. We offer customized, wide ranging services in market access, medical affairs and real-world evidence generation processes. Visit our website www.medaffcon.fi for more details.