Overview

CorEvitas' longitudinal, deep clinical data sets provide unique, real time insights on the 'state of the disease' management and patient outcomes in highly dynamic markets.

Patient Journey

Longitudinal data provides insight as to how patients cycle through medications and as to the factors influencing providers' treatment decisions.

Treatment Patterns

Survival analyses are performed that look at treatment persistency and reasons for medication switching and discontinuation.

Burden of Illness and Unmet Need

Examination of disease activity and lack of response to therapies can identify the burden of illness and unmet need of autoimmune patient populations.

Quality of Care

Prescribing practices are examined including whether providers are following a treat-to-target treatment paradigm.

Patient Centered Research

Understanding the patient's experience is pursued through the evaluation of patient reported outcomes.

Treatment & Comparative Effectiveness

Treatment effectiveness and comparative effectiveness by drug, between classes of drugs and within classes of drugs using validated outcome measures.

Personalized Medicine

Analyses identify subgroups of patients who will have better responses to a particular drug class as compared to competitors.

Protected Health Information (PHI) Linkage

CorEvitas' PHI enables linking deep clinical data with other sources such as Medicare, National Death Index and other dataset such as claims and labs at an individual level.

Medical Affairs & Commercial

Gain key insights from regulatory-grade, highly structured data.

Deep clinical data and standardized outcome measures inform the needs of industry.

Drug choice

CorEvitas gathers data specifically designed to capture factors associated with medication choice and switching therapies, informing manufacturers' positioning within the competitive landscape.

Utilization

CorEvitas' robust longitudinal data uncovers utilization trends, which can answer your market-related questions.

Comparative Effectiveness and Safety

Breadth and depth of comparator cohorts within the highly structured, longitudinal data set supports comparative analyses of classes of drugs as well as head-to-head analyses.

Linkage

Identifiable information used to link data sets.

Patients provide identifiable information for defined purposes, including combining clinical and claims data.

Centers for Medicare & Medicaid Services Data

CorEvitas has linked its clinical data sets with Medicare data, creating an even more robust data set for analysis. Such data includes claims which permits cost-effectiveness and other health care utilization analyses.

National Death Index Data

CorEvitas has worked closely with the National Death Index to link data sets to gain further clarity on the patient journey. Such data is utilized to validate CorEvitas data and provides a complete set of data on individuals who no longer participate in the registry.

Electronic Medical Records (EMR) and Claims

CorEvitas is able to link its data with other sources including claims data, EMRs and labs. CorEvitas protects patient confidentiality while matching patient data on an individual basis.