Real-world evidence
Evidence generated from care as it is actually delivered — registries, observational studies, outcomes research and post-market surveillance.
Overview
Evidence from care as it is actually delivered
Randomised trials establish efficacy under controlled conditions. Real-world evidence establishes what happens afterwards — in routine practice, across whole populations, over time.
Study types
- Observational studies
- Registry studies
- Retrospective cohorts
- Prospective cohorts
- Post-market surveillance
- Comparative effectiveness
Data sources
- EMR & hospital data
- Laboratory data
- Imaging data
- Claims data
- Patient-generated data
- Disease registries
Outputs
- Outcomes research
- Health economics (HEOR)
- Safety signal analysis
- Treatment patterns
- Burden of disease
- Regulatory-grade RWE
Why it connects to our technology practice
Real-world data is an interoperability problem before it is a research problem
RWE fails when the underlying data is fragmented, inconsistently coded or semantically ambiguous. CAD CARE builds the terminology and interoperability layer that makes real-world data analysable in the first place.
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Close an evidence gap.
Post-market commitments, payer evidence, safety questions or outcomes research — tell us what needs to be demonstrated.