DRG uses cookies to improve your experience on this website. Some of the cookies we use are essential for parts of the website to operate. Please be aware that if you continue without changing your cookie settings, you consent to this. For more information on our use of cookies, please review our cookie policy.

Treatment Algorithms: Claims Data Analysis

Longitudinal patient-level claims data drive DRGs analysis of progression rates of patients through each line of therapy, the share each product commands by line of therapy, add versus switch patterns to key brands, and product compliance and persistence.

Comprehensive analysis covering 50+ indications allows you to:

  • Fine-tune your brand strategy by bringing prescription dynamics to life through longitudinal patient-level data.
  • Quantify the opportunity for increasing your brand performance in targeted segments with visibility into brand usage by specific lines of therapy.
  • Track your and competitors’ overall brand performance to understand market dynamics and develop forecasts.
  • Analyze the pathways that lead to your business, and subsequent prescribing dynamics.
  • Understand persistency (how long on the drug) and compliance (actual refills) for the different brands.

 

Browse Reports

“The growing accessibility of healthcare real-world data has opened up previously unimaginable resources for uncovering pharmaceutical market dynamics. Real-world data has the potential to boost brand performance, fine-tune commercial strategy, tease out subtle market nuances, and unlock hidden opportunities.”

Mladen Tomich

Executive Director, Product Strategy

Methodology

  • Longitudinal, patient-level claims data
  • U.S. data, covering ~30 million lives, including Medicare supplemental and commercially insured populations
  • Analysis of claims queries covering newly diagnosed patients, recently treated patients, persistency, and compliance
  • Coverage of 50+ diseases across multiple therapy areas