Reservoir Health helps organizations generate, apply patient-centered evidence using fit-for-purpose methods tailored to the decisions the evidence is intended to inform. Our work spans early strategy and evidence through regulatory, HTA, payer, clinical development, market access, and AI-enabled decision-making

Health care decision-makers increasingly expect evidence that demonstrates not only whether a therapy works, but how it affects patients' lives and performs in real-world practice.
Patient insights and evidence support a wide range of decisions, from understanding unmet need and informing product strategy to guiding clinical development, market access, reimbursement, and policy. Different decisions require different types of evidence, making it essential to match the methodology to the question being asked.

Reservoir Health helps clients generate, strengthen, synthesize and apply patient evidence across the product lifecycle. We use fit-for-purpose methods tailored to the decisions the evidence is intended to inform, spanning evidence planning and gap assessment, primary research, evidence synthesis, patient-centered real-world evidence, endpoint strategy, provider adoption research, payer engagement, and dissemination – including the development of rigorous, regulatory-grade patient experience data.
This work is led by internationally recognized experts in patient-centered evidence generation and, patient-focused drug development,. Many of their studies are subsequently published in peer-reviewed journals and presented at leading scientific conferences. Their expertise is strengthened by Reservoir’s broader capabilities in policy, market access, and communications, helping organizations move beyond isolated patient studies and build and execute integrated evidence strategies.
Regulatory and patient-focused drug development strategy
HTA, payer, value, and market access planning
Clinical outcome assessment and endpoint planning
Real-world evidence and patient-reported outcomes strategy
Launch planning, provider adoption, and care delivery research
AI-enabled evidence ecosystems and payer decision-making workflows