Health Economics and Outcomes Research
Claims Data Analyses

Use existing medical claims data to provide scientific results in a fraction of the time.

Randomized controlled trials and other prospective data collection methods provide valuable data, but they are costly and time-consuming.  A properly executed analysis of large-scale administrative and claims databases provides scientifically valid results in a fraction of the time and at substantially lower cost than prospective data analysis that answers the same question.

In a short time, you can obtain

  • Head-to-head comparisons between groups of patients treated with competing interventions
  • Scope and size of the market for new interventions or extensions of existing products
  • Adverse effects of available products
  • Progress of certain products or services into the medical marketplace
  • Variations in utilization of products and services by geography, specialty, patient demography, or diagnosis
  • Health care services that are systematically under-reimbursed by payers
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