Send the code to the data: a federated analytics network of cancer centres
Hospitals keep their records at home; researchers send in a programme that runs at each hospital and only the summary results come back.
OHDSI has shown that a common data model (OMOP) plus federated analysis scripts can run identical studies across hundreds of databases without moving patient-level data. Oncology needs the oncology extension of OMOP (episodes, regimens, staging) completed and a standing network of 50 or more cancer centres with a governance committee that approves study packages, not data transfers. Related efforts include the EHDEN network in Europe and PCORnet in the US.
- Data silos · Records, scans, genomes and outcomes sit in separate systems that cannot talk. Every patient's experience is lost to the next.
- Weak real-world evidence and registries · We do not reliably know what happens to patients after approval, so we cannot tell which drugs deliver in practice.
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