Mayo Clinic Outpatient Practice Modeling

Mathematical optimization is a set of methods for identifying the best solution to a problem given real-world constraints. Such methods have been applied to a wide range of industries and business problems including capacity management, facility location, portfolio allocation, product recommendations, logistics, and scheduling among many others. Paired with emerging technologies like machine learning and … Continue reading Mayo Clinic Outpatient Practice Modeling →

Mathematical optimization is a set of methods for identifying the best solution to a problem given real-world constraints. Such methods have been applied to a wide range of industries and business problems including capacity management, facility location, portfolio allocation, product recommendations, logistics, and scheduling among many others. Paired with emerging technologies like machine learning and artificial intelligence, optimization has immense potential to transform operational decision making in healthcare at scale.

Learn how mathematical optimization was used to address resource utilization and scheduling constraints in a multi-disciplinary clinical practice at Mayo Clinic in a post-COVID-19 environment. Our speakers include Senior Health Systems Engineers, Amrika Ramjewan, M.S. and Tarin Casadonte, M.S., as well as our host Tony Chihak.