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Resource reallocation in an emergency medical service system using computer simulation.

Syi Su1, Chung-Liang Shih

  • 1Institute of Health Care Organization Administration, School of Public Health, National Taiwan University, Taipei, Taiwan. susyi@ha.mc.ntu.edu.tw

The American Journal of Emergency Medicine
|November 21, 2002
PubMed
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Reducing emergency medical service (EMS) ambulances to one per unit boosts utilization to 15.47% without impacting service quality. This strategy offers significant cost savings and improved efficiency for EMS operations.

Area of Science:

  • Health Services Research
  • Operations Research
  • Public Health Policy

Background:

  • Emergency medical service (EMS) providers face challenges in optimizing finite resources for maximum effectiveness.
  • Current EMS ambulance utilization rates and patient transport times require analysis for potential efficiency improvements.

Purpose of the Study:

  • To develop and validate an EMS computer simulation model for resource allocation analysis.
  • To evaluate the impact of reducing ambulance numbers on utilization, service quality, and costs.

Main Methods:

  • Utilized eM-Plant software to create an EMS computer simulation model.
  • Incorporated prehospital care records from Taipei city's EMS system (December 2000 data).
  • Manipulated resource allocation levels and idle errand rates within the simulation.

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Main Results:

  • Current EMS ambulance utilization was found to be 8.78%, with an average transport time of 20.89 minutes.
  • Simulations indicated that reducing ambulances to one per response unit increased utilization to 15.47%.
  • This reduction did not compromise service quality, slightly affected waiting/arrival times, and yielded cost savings.

Conclusions:

  • A single ambulance per response unit is sufficient to maintain operational patterns while improving efficiency.
  • The study provides a viable research methodology for EMS resource allocation and policy direction.
  • Optimizing ambulance numbers offers a pathway to reduce costs and enhance EMS operational efficiency.