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Related Experiment Videos

Ambulance economics.

A J Fischer1, P O'Halloran, P Littlejohns

  • 1Public Health Sciences Department, St George's Hospital Medical School, London. afischer@sghms.ac.uk

Journal of Public Health Medicine
|November 15, 2000
PubMed
Summary
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An economic framework helps ambulance services optimize resource allocation. This study shows how to meet response time targets and improve efficiency through strategic ambulance deployment and innovation.

Area of Science:

  • Operations Research
  • Health Services Management
  • Health Economics

Background:

  • Ambulance services generate vast data crucial for strategic planning.
  • An economic framework is proposed to analyze resource allocation for emergency medical services.
  • Key questions address ambulance numbers, rostering, innovation, and demand impact on response times.

Purpose of the Study:

  • To develop an economic model for ambulance service resource allocation.
  • To determine the optimal number of ambulances needed to meet response time targets.
  • To evaluate the cost-effectiveness of innovations and temporal rostering strategies.

Main Methods:

  • Utilizing the 'Ambulance Response Curve' to quantify the impact of additional ambulances on response times.

Related Experiment Videos

  • Estimating the marginal cost of ambulances to calculate the opportunity cost of response time.
  • Analyzing time savings from temporal ambulance deployment and operational innovations.

    • Main Results:

    • Average response time (r*) was 8 min 52 s; each additional ambulance reduced r* by 8.9 s.
    • Meeting response time targets requires 14 additional ambulances.
    • Shifting ambulances to peak demand periods and crew readiness significantly reduces response times.

    Conclusions:

    • Ambulance services can better evaluate the cost-effectiveness of innovations.
    • Policymakers gain insights for funding decisions to achieve response time goals.