i3 Innovus has an outstanding track record in the conduct of retrospective database analysis as a means of demonstrating value for customer products. With a uniquely rich database, i3 Innovus is able to deliver timely, meaningful information to support every aspect of product decision-making. Our proprietary research database contains de-identified information on millions of annual lives from multiple health plans with up to 10 years of historical data and provides unmatched depth, detail, and timeliness of health care information.

Unparalleled Data Assets

The size and breadth of our database allows us to link physician and patient survey data, clinical evidence abstracted from medical records, and clinical laboratory results to pharmacy and medical claims history. The comprehensiveness of the data allows us to investigate any number of patient, physician, treatment, and clinical attributes. Geographic diversity, combined with the longitudinal nature of these data and the ability to see treatments in many settings, affords a unique perspective to the researcher. i3 Innovus also has the unique ability to correlate the socioeconomic aspects of the patient to the analyses via linkage to external data, including race/ethnicity, income, net worth, and educational attainment.

New Medicare Part D Capabilities

i3 Innovus also has access to one of the largest enrolled population of Part D participants. This includes information by enrollee type (Dual Eligibles, Low Income Subsidy members, Medicare Advantage members, and other Part D enrollees), with medical claims and lab results for a significant portion. We are able to track members through the cost sharing structure, to examine drug switching and economic and quality outcomes as enrollees encounter the doughnut hole, and as they emerge into the catastrophic phase of the benefit. This enables i3 Innovus to provide our customers with the most comprehensive analysis of beneficiary data of this important patient demographic.

i3 Innovus experience includes:

• Economic data (burden-of-illness, cost effectiveness, cost utility)
• Humanistic data (quality-of-life, satisfaction, functional status, adherence)
• Utilization data (treatment patterns, switching, utilization patterns)
• Productivity outcomes
• Patient-reported outcomes
• Econometric analysis