Phoenix Children's cut model building from about nine months to minutes with DataRobot and predicts malnutrition and missed appointments.

Building predictive models by hand took the hospital roughly nine months each. It deployed DataRobot on premises alongside Power BI so non-data-scientists can build viable models in minutes. The page cites identifying 4-5 at-risk malnourished children a week, filling about 9,000 missed appointments a year, and predicting emergency room volume for staffing.

DataRobot is an enterprise AI platform for building, governing and observing predictive and generative models, used by hospitals and pharma for forecasting and clinical research

This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.