New Brunswick EMS, headquartered in Moncton, is responsible for the management of ambulance services for the entire province.
With a population of more than 750,000 and over 100,000 calls per year, they needed to ensure they were deploying their resources efficiently and wisely to meet demand.
NBEMS turned to Darkhorse Analytics because of their proven expertise in Emergency Services and their ability to create custom tools tailored to their needs.
We began with an in-depth analysis of NBEMS’s historical data to gain an understanding of the breadth of issues facing their team.
Next, as a means of capturing the complexity of planning emergency services, we employed drive-time, station location, deployment, scheduling, and redeployment models.
Utilizing these five distinct modeling tactics we were able to decipher the province’s multifaceted emergency services system and begin building intelligent and interactive predictive tools to guide NBEMS’s decision-making.
We created a series of modeling tools that predict the impact of operational decisions, such as adding or removing emergency services stations.
Additionally, we created a tool that modeled a ‘blank slate’ to determine where and when ambulances should be placed in an ideal scenario.
These tools form the basis for NBEMS’s decision making process when they are awarded resources for their fleet and base locations, and allow them to track their performance.