Case Study: Major Hospital achieves 11% staffing cost reduction and improved patient forecasting with Dataiku

Hospital Staffing Optimization

Major Hospital faced chronic staffing inefficiencies—schedules were largely manual, patient demand was hard to anticipate, and staffing drives more than half of hospital costs—leading to overwork, patient dissatisfaction, and high expenses. Dataiku partnered with Major Hospital to build a patient forecasting solution on the Dataiku platform, completing the initial deployment in just three months to enable data-driven staffing decisions.

Dataiku implemented an automated predictive application that ingests internal and external data (historical volumes, weather, epidemics, holidays, traffic), trains ML models, and exposes forecasts via an API into the scheduling system. The Dataiku solution made forecasts 47% more accurate than historical averages, reduced staffing costs by 11% (about $730K per year), and cut staffing turnover by an estimated 9% in year one, improving productivity and patient care.