Medical Evidence Generation
Real-world evidence, transparently built.
Beyond the controlled trial, real-world and observational data answer questions trials cannot — how a disease behaves, how patients are actually treated, and what happens to them over time. We design and conduct observational studies, and build and analyze patient registries, to generate primary evidence on epidemiology, treatment patterns, outcomes, and safety — with methodological transparency built in from the start.
Related reading
A real-world treatment-pattern study across multi-center oncology data
Browse Case Studies →
Controlling confounding in real-world cohort studies
Read Article →Why it matters
Real-world evidence has moved from supplementary to central in regulatory, reimbursement, and clinical decision-making. But the value of an observational study rests entirely on how well it controls bias and confounding. Pre-specified design, appropriate analytic methods, and transparent reporting against observational-research standards (STROBE, RECORD) are what separate credible evidence from data dredging.
What we offer
Observational & real-world studies
- Retrospective cohort, case-control, and cross-sectional studies
- Disease epidemiology and burden-of-illness studies
- Treatment patterns and drug utilization research
- Clinical and patient-reported outcome (PRO) studies
- Real-world safety and post-marketing surveillance
Patient registries
- Registry design and protocol development
- Data model, common data elements, and electronic data capture (eCRF) setup
- Patient enrollment, data collection, and quality-control frameworks
- Data governance, consent, and regulatory compliance
- Registry analysis — descriptive, longitudinal, and outcomes
- Natural history studies built on registry data
How we work
Every study begins with the research question, then works backward to the data sources and design. We pre-specify the protocol and analysis, control confounding with appropriate methods, and report transparently against observational-research standards. When the question instead calls for building a comparator — an external control arm or an indirect comparison — that work sits in Data Use & Regulatory Strategy.
Related services
- Publication Support — real-world studies positioned for publication
- Data Use & Regulatory Strategy — external control arms and indirect comparison for regulatory use