Real World Evidence

To maximize your product’s value potential, you need a holistic and efficient real world evidence (RWE) plan. Understanding your product’s value story, the evidence needed to support it, and a roadmap to collect and generate those data, is key. Our RWE experts can help you:

• Create your value story
• Understand the evidence questions key stakeholders will ask
• Review existing data and identify gaps
• Identify and access the right data
• Design and conduct studies to fill evidence gaps
• Communicate your complete value story to stakeholders

There is a wealth of diverse, global data out there. But knowing where to go and how to acquire fit-for-purpose data can be difficult for even skilled researchers. Our real world data scientists have deep therapeutic area and data expertise to illuminate the right data, integrate it into a common system, and analyze it for decisive action. We can help you to:

• Find and procure the right data for your needs
• Connect real world data from disparate sources for interoperability
• Conduct retrospective data analyses to understand the burden of disease, patient journey, treatment patterns, comparative effectiveness, and more

Evidence needs are increasing as HTA bodies and payers conduct more thorough and sophisticated evaluations of your health technology. Demonstrating your product’s value requires clear and powerful evidence, generated in the most efficient way possible, to support both global needs and local implementation. We can help you to:

• Assess the clinical and economic burden of illness, existing treatment patterns, and incremental costs of disease to prime the market for product launch
• Conduct systematic literature reviews and indirect treatment comparisons to synthesize the available evidence
• Design and build economic models to establish cost-effectiveness and budget impact
• Complete early modeling from phase 2 through HTA submissions
• Compare the effectiveness and safety of your product post-launch to competitors or standard of care
• Design and conduct rigorous and scientifically sound observational studies using secondary data to fill your evidence gaps