Oncology EHR and real-world data platforms
Databases built from millions of real patient records, used to see how treatments work outside trials and to run studies without new trials.
Flatiron Health (Roche; oncology EHR OncoEMR plus the Flatiron-Foundation clinico-genomic database), Tempus (multimodal clinical-molecular data), ConcertAI, COTA, Syapse, TriNetX, Komodo Health, Optum, and Datavant (tokenised linkage) assemble and curate real-world oncology data. Used for external control arms, label expansions (FDA's RWE framework), health-economic models, and biomarker discovery; standardisation via OMOP/OHDSI and mCODE (HL7 FHIR) is the interoperability layer.
How it works
Structured and abstracted EHR data, claims, genomics, and mortality linked with privacy-preserving tokens; curated to common data models and analysed with target-trial emulation methods.
- Scale and speed
- Populations trials exclude (older, sicker, rarer)
- Confounding and missing data
- Inconsistent endpoints (real-world progression)
- Access and cost
Latest papers
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