Paris hospitals use big data to predict admissions Springwise

Ten years of Paris hospital admissions data, plus external information including weather, patterns of flu infection and public holidays, was ingested and analyzed by the Trusted Analytics Platform (TAP). Four of the Assistance Publique-Hôpitaux de Paris (AP-HP) are trialing the new predictive system aimed at reducing hospital waiting times. TAP is an open-source analysis platform that uses machine learning to create tools and services across a range of industries. The AP-HP project is the first to use open source time series analysis, and the TAP engineers that worked on the system had to build new sets of code. If the project is successful, plans are to implement the prediction system through the entirety of the 44 hospitals in the AP-HP group.