Open, benchmarked algorithms for lines of therapy and progression from routine data
Publish the exact rules used to work out from messy hospital records which treatment a patient was on and when it stopped working, and test them all on the same data.
Real-world studies depend on deriving line of therapy, progression and response from records, but every vendor and academic group uses proprietary rules, so results are not comparable. The proposal is an open library of versioned derivation algorithms with a benchmark dataset of chart-reviewed cases, run as a public leaderboard, so studies can cite algorithm version and known error rates.
- 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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