Real-World Evidence Backed by Real Patient Data

Supporting comprehensive real-world study design across both retrospective and prospective approaches. We assist with observational study protocols tailored to unique patient populations, and develop comparative effectiveness research to assess outcomes across treatments. Our team helps quantify the burden and cost of illness, design external and synthetic control arms, and structure pragmatic or hybrid trial frameworks. We also provide guidance on longitudinal follow-up strategies and patient-reported outcome (PRO) endpoint selection to ensure studies reflect real-world experience.

Connecting sponsors with a rich, multimodal dataset that includes claims, electronic health records (EHRs), patient-reported outcomes (ePROs and surveys), genomic and biomarker data, and wearable/app-generated insights. We maintain disease- and product-specific registries and support advanced data linkage across these sources—enabling combinations such as claims + EHR + PRO, or genomic data with patient voice and clinical outcomes. All data collection is fully compliant with HIPAA, GDPR, and other global privacy regulations, and every dataset includes appropriate de-identification protocols to ensure participant safety and security.

Inspire enables deep patient engagement through direct-to-patient recruitment, consented enrollment, and the development of condition-specific virtual or in-person registries. Our communities support longitudinal engagement, allowing for ongoing touchpoints and real-time feedback. We facilitate advisory boards and gather qualitative insights through structured interviews and focus groups. Additionally, our social listening and survey tools offer scalable ways to understand evolving patient needs directly from those experiencing the condition.

We support end-to-end study execution with flexible infrastructure. Inspire builds prospective and retrospective registries, captures real-world data through mobile and web-based ePROs, and integrates digital diaries and wearables. We automate data extraction from EHR and claims systems, including site-agnostic solutions that avoid traditional integration hurdles. Our approach supports active safety and effectiveness tracking and enables decentralized, virtual study designs that meet patients where they are.

Our analytics capabilities span traditional and emerging methods. We apply biostatistics and epidemiology modeling to real-world data and use machine learning and AI to identify meaningful patterns and safety signals. Our natural language processing (NLP) tools analyze unstructured data—from clinical notes to community forums—to extract insights at scale. We support causal inference with techniques like propensity score matching, and our health economics models inform decisions around cost-effectiveness, QALYs, and treatment impact.

Inspire transforms real-world data into actionable evidence. We support manuscript development, peer-reviewed publications, and scientific congress submissions. For internal teams, we provide interactive dashboards and real-time visualization tools tailored to cross-functional needs. Whether informing market access negotiations, field sales discussions, or payer communications, we deliver evidence in the right format to support decision-making and impact.