Agenda - Council - 08/13/2013 - Laserfiche WebLink

Home

Ramsey, Nowthen, St. Francis, Oak Grove, and Bethel, Minnesota Feasibility Study for Shared or Cooperative Fire and Emergency Services Performance When discussing emergency services organizations, the primary issue of question is response performance. Response performance analysis evaluates how quickly an organization responds to an incident and is more commonly known as response time. The response time continuum, the time between when the caller dials 9-1-1 and when assistance arrives, is comprised of several different components: • Processing Time — The amount of time between when a dispatcher answers the 9-1-1 call and resources are dispatched. • Turnout Time — The amount of time between when units are notified of the incident and when they are en route. • Travel Time — The amount of time the responding unit actually spends on the road to the incident. • Response Time — A combination of turnout time and travel time and generally accepted as the most measurable element. Other performance measurements are also valuable but not utilized in this analysis of staffing and deployment, such as: • Patient Contact Time —The actual time personnel arrived at the patient and began treatment. • Scene Time — The total amount of time resources have spent on the emergency scene prior to transport or clearing the incident. • Transport Time — The total amount of travel time spent transporting the patient to a definitive care facility. • Hospital Time — The total amount of time the transporting unit spent at the receiving facility before returning to service. • Total Commit Time —The total amount of time between dispatch and clearing the incident. Since none of the agencies involved in this project provide transport EMS, the components evaluated in this section will be limited to those found in the first list: processing, turnout, and total response. Before entering this discussion, however, the project team felt it necessary to provide a brief discussion about how the statistical information is presented, particularly in regard to average versus percentile measures. The 'average' measure is a commonly used descriptive statistic also called the mean of a data set. It is a measure which is a way to describe the central tendency, or the center of a data set. The average is the sum of all the points of data in a set divided by the total number of data points. In this measurement, each data point is counted and the value of each data point has an impact on the overall performance. MEEmergency Services Coaaulriog page 6I