Abstract: This talk will cover several projects where we combined Machine Learning and Optimization to treat more patients, using productivity-driven scheduling to reduce delays in dynamic /online contexts and to reduce treatment time for cancer care. We will cover projects collaborating with emergency departments, radiology, radio-oncology, and ambulance services.
Speaker: ouis-Martin Rousseau is a Professor in the Department of Mathematics and Industrial Engineering at École Polytechnique de Montréal. Since 2016, he has held the Canada Research Chair in Healthcare Analytics and Logistics, which studies complex and interconnected problems in-home care services, cancer treatment, and hospital logistics. Louis-Martin was also the founder and Chief Science Officer of Planora before its acquisition by JDA in 2012, where he served as a scientific advisor afterward. With students and colleagues, he recently cofounded Gray Oncology Solution (www.gray-os.com), which proposes a patient-scheduling SaaS solution to the health sector.
Recording: Data-driven models for efficient healthcare delivery