Complex analytics to produce straightforward insights
Evidence forms the foundation of every value story. Whether a market is mature or novel, careful data analytics can reveal opportunities for improving patient health outcomes and maximizing value. We apply advanced methodologies to a broad array of data sources—tailoring the approach and resources for each engagement—to deliver insights that guide the value story.
Customized analytics using real-world data
Quantify the comprehensive burden of disease for patients, caregivers, and the healthcare system
Identify vulnerable populations underserved by existing treatments
Demonstrate the potential value of novel interventions
Explore rates of disease progression and clinically meaningful events
Summarize treatment patterns and obstacles to improved health outcomes
Compare the effectiveness of existing treatments
Test hypotheses from clinical trials
Measure health outcome metrics important to patients, providers, and payers
Develop custom outcome measurements for specific populations
Measure cost offsets from reduced healthcare resource use
Validate improved health outcomes from novel treatments
Generate cost-effective evidence to support stakeholder value demonstration
Putting it in Context
From early-stage development to payer negotiations, Medicus generates evidence throughout the product life cycle
Understanding the burden of disease provides a framework for how novel treatments can add value. Real-world data analyses can help quantify these unmet needs and highlight opportunities for new therapies.
Translating brand strategy into outcomes can be complex. Pairing the right data source and analytical methods maximizes the likelihood of capturing the benefits from treatment. Data analysis based on real patient experience provides a powerful tool for making sure these benefits are recognized.
Real-world evidence is growing in availability and importance, and as a result is facing increased scrutiny. Results generated with tailored methods, analytical rigor, and attention to detail can make the difference in regulatory decisions and payer negotiations.
Distilling analytical evidence into value messages that resonate with patients, payers, clinicians, and other stakeholders is critical. Doing this effectively requires a detailed understanding of research methods and data sources, as well as the broader clinical, regulatory, and competitive landscape.
The Medicus Approach to
Our priority is finding the right study design and data source for your research question. If the data isn’t available, we help you generate it or think through alternatives.
Our approach is guided by academic training and extensive experience across analytical methods and data sources. We produce high-quality evidence suitable for peer-review and regulatory scrutiny.
Our passion is finding new ways to generate evidence that use creative, cutting-edge methods. We rely on a wide range of data sources to tailor analyses based on our clients’ needs.
Explore case studies with a focus on Data Analytics & Real-World Evidence
How do you measure the value of a patient support program?
What are the unintended consequences of co-pay accumulator adjustment programs?
Learn more about our other practice areas