Tampa General cut early sepsis deaths 68% and saved 886 lives using Palantir. The algorithm is not the reason why.
The system pulls Epic data, lab feeds, and device telemetry into one patient object model and scores every patient every 15 minutes. But the model just flags. The rapid response team and the antibiotic clock do the saving.
Every failed sepsis alert tool died the same way: fires to a bedside nurse managing 6 patients, joins 40 other interruptions, gets dismissed. Override rates hit 95%. Tampa General fixed this by routing alerts to a dedicated response team, not the bedside.
The real moat is not the algorithm. It is an engineer embedded in the hospital for 18 months making pipes work and making nurses not hate the alerts. That is replicable without a nine-figure contract.
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