Solving Complex Coordination Issues for Non-Emergency Medical Transport
On this project students will look at the current predictive models against real data and retrain the models. Students will also develop a tool for dynamically analyzing the supply-demand balance in various regions, and a process to use that tool to adjust advertising budget to focus on areas that have more need for the allocated funds.
Angel Flight West (AFW) is a non-profit volunteer-centric organization that provides medical transportation to passengers in more than 12 states in the western U.S.
In 2016, AFW launched a strategic initiative to double its mission count over seven years. Over the past several years, the MSBA team has assisted AFW leadership in operationalizing this strategic vision through digital transformation and predictive analytics. The team is re-envisioning the capabilities of AFW’s data platform to optimize the impact of three key growth factors — pilots, patients and providers.
The MSBA team’s project scope includes applying data manipulation techniques and machine learning methods to develop, analyze and implement models for the organization’s operation system. The objectives included increasing resource utilization and reducing the number of flight cancellations for AFW through predictive modeling.