Enhancing Real World Evidence through Combined Registry and Claims Data

Meet the speakers

Image avatar of Jeffrey Curtis
Jeffrey Curtis
MD MS MPH, Professor of Medicine, Epidemiology and Computer Science, Division of Clinical Immunology & Rheumatology, University of Alabama at Birmingham
Image avatar of Scott Henderson
Scott Henderson
Senior Director, Linked Data Analysis, CorEvitas
Image avatar of Scott Robinson
Scott Robinson
Vice President, Health Economics and Outcomes Research, Inovalon
Image avatar of Su Huang
Su Huang
Head of Data Strategy, Datavant

About the webinar

Conducting burden of illness studies and cost-effectiveness research is challenging without data that captures a patient’s complete journey from primary care to specialty clinics and inpatient care. Closed claims data does an excellent job capturing all physician visits, hospital visits and prescription fills as documentation of this activity is required for a service to be reimbursed. However, what claims data lacks is the insight into disease activity and other metrics that are important to the care of the patient, but are not a required part of a reimbursement claim. Registry data fills this gap by providing deep clinical data to complement the broad patient treatment information that is captured in claims. The combination of these two assets provides insights into differences in segments of the population, including those with mild versus moderate or severe disease.

In this webinar, learn how this partnership between CorEvitas and Inovalon combines deep clinical data with applicable and authorized claims data in order to answer key questions in these complex disorders.

Our panelists discuss the benefits of this across HEOR studies and medical research in the immunology space, including case studies in Rheumatoid Arthritis.