Claritis links patient reported outcomes, claims and electronic health records. By using these linked data sets rather than designing and conducting a large primary study, you don’t wait, you generate data and evidence immediately.

Claritis’ unique ability to look at the same individual in different data sets represents a major advancement in evidence generation for real-world research and supports a host of scenarios, including:

1. Providing payer agencies with the required evidence to support reimbursement decisions.
2. Supporting regulatory bodies that require evidence of real-world safety and effectiveness.
3. Generating critical information that’s used by healthcare professionals, patients and caregivers.

Claritis combines data from Kantar's Patient-Centered Research (PaCeR) database with clinical data from electronic health records, labs, medical and pharmacy claims. It details information on:

• demographics and lifestyle
• co-morbidities
• disease severity and quality of life
• patient behavior and attitudes
• diagnosis and treatment
• affordability and insurance coverage
• healthcare provider visits (including hospital)
• lab results
• biometrics
• genomics

We use accurate probabilistic matching to link de-identified clinical data with de-identified survey data.

Our linking process is GDPR-compliant and maintains the patient confidentiality that's required by HIPAA regulations.

The software used to link the data sets is validated at error rates below industry standards.