The promise of Real World Evidence is that a rich diversity of data collected from extremely large samples of patients will yield more precise, better targeted and thus more highly effective health care at the level of the individual patient. This promise is driving current research methodology towards a massive use of secondary data sources, that is, sources comprised of data originally collected for other purposes (ex. other studies, registries, standard medical care, administrative databases, etc). This tendency opens doors to a rejuvenated use of retrospective observational research. Retrospective methods are gradually improving their reliability in order to embrace the current challenge of supporting robust Real World Evidence.
Speaker: Simona Sgarbi, Medineos Real World Data Senior Advisor
Since 2002 she has been working in MediNeos where she gained expertise in epidemiology, biostatistics, laws/regulations applied to pharmaceutical and medical devices fields as well as project management of complex multinational peri and post approval studies. She highly skilled in the design of observational studies with different study designs (prospective and retrospective cohort studies, case control, cross sectional) and various typology (Epidemiological Studies, Patient Registries, PASS/PAES, …).
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