Abstract
Effective management of ambulance staffing is a complex challenge that has profound implications for public health and safety. This study analyzes the spatial and temporal distribution of 911 calls and proposes a model for staffing ambulance shifts. We demonstrate the variability in important factors across localities and the implications of these factors for response times. We also show the optimal resource scheduling proposed by our model and the variability in these schedules across localities. These results offer a useful framework from which practitioners can analyze their locality and ensure effective management of emergency medical service resources.
Recommended Citation
Goldberg, David M.; Garvey, Patricia; Xia, Long; and Hong, Sukhwa, "Modeling Local Ambulance Resource Scheduling" (2019). AMCIS 2019 Proceedings. 14.
https://aisel.aisnet.org/amcis2019/data_science_analytics_for_decision_support/data_science_analytics_for_decision_support/14
Modeling Local Ambulance Resource Scheduling
Effective management of ambulance staffing is a complex challenge that has profound implications for public health and safety. This study analyzes the spatial and temporal distribution of 911 calls and proposes a model for staffing ambulance shifts. We demonstrate the variability in important factors across localities and the implications of these factors for response times. We also show the optimal resource scheduling proposed by our model and the variability in these schedules across localities. These results offer a useful framework from which practitioners can analyze their locality and ensure effective management of emergency medical service resources.