Abstract

Transportation remains a major barrier in receiving cancer treatment in Canada. The situation is especially alarming for those living in rural areas and in the light of COVID pandemic, poses another risk in the long list of health challenges to patients with pre-existing conditions. In this dissertation we set out find a solution to this problem by providing a framework for a personalized healthcare transportation system tailored to the needs of this population.
A three-step approach is proposed. First, a review of literature and initiatives employed by global transportation providers is conducted to identify major methods used for healthcare industry. Second, a transportation strategy is proposed, and key performance indicators identified through analysis of data and interviews with industry best practices in order to determine key aspects of such operations having the most impact on the overall service level. Finally, a discrete event simulation is provided and tested through various scenarios to understand how such operations would behave in real life and how they react as the environment evolves through time. A case study of a major nonprofit organization for whom this strategy was originally outlined is provided for further context. In the end, the key findings from this research are formulated as a decision-making tool for future guidelines in managing similar operations.

Keywords: Transportation; Strategy; Simulation; Healthcare; Ride Sharing; Breast Cancer