Patient
Reaching patients isn’t just about awareness—it’s about understanding what drives action.
We help pharma teams use data and analytics to map the patient journey, identify barriers, and design solutions that improve activation, adherence, and outcomes. Our approach connects behavioral insight with real-world evidence—integrating seamlessly with your proprietary and in-market data sources to deliver targeted strategies and measurable impact.
Patient Journey Analytics
Extract and apply real-world data with speed and precision—cutting typical timelines by up to 70%. Purpose-built for specialty pharmaceuticals and oncology, our AI-powered platform integrates seamlessly with proprietary and in-market real-world data sources. Its intuitive, no-code interface supports a wide range of use cases—like patient finding, line-of-therapy analysis, segmentation, referral mapping, and predictive modeling—delivering insights in days, not weeks.
Benefit Design
Assess how benefit design influences patient behavior—including variation across the plan year—to improve forecasting, refine access strategy, and strengthen engagement planning.
Patient Affordability Modeling
Model the impact of out-of-pocket costs on patient behavior and adherence to identify access barriers, inform affordability strategies, and improve patient retention.
Copay Program Analytics
Design and evaluate copay support programs and assess their impact on access and financial performance—to inform strategy and program refinement.
Patient Behavior Modeling
Use claims data to analyze out-of-pocket (OOP) sensitivity, abandonment, adherence, and persistence—revealing what drives patient decisions and informing interventions that improve utilization and outcomes.