Quality Assurance of Emergency Management Operation Processes through Statistical Process Control

Ambulance services continually strive for improvement of their emergency response operations to provide better service to the community. The difference of a couple minutes can be a crucial factor in the survival of a patient. Therefore, it is of great importance for ambulance services to have reliable and stable response times. The study applies three phases of statistical process control to assess the process and determine the current performance. By implementing an exploratory analysis, process behavior analysis, and predictive analysis patterns, trends and process stability are analyzed. The research showed a process with very high variability while having a stable low average response time. With a percentage of 9.96% of response time operations being above the limit of nine minutes established by the North Dakota Legislature, the process calls for further improvement. To this end, several factors and characteristics, which can be considered in future management decisions, were detected.

  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    North Dakota State University, Fargo

    Department of Industrial and Manufacturing Engineering
    Fargo, North Dakota  United States  58102

    Upper Great Plains Transportation Institute

    North Dakota State University
    1320 Albrecht Boulevard
    Fargo, ND  United States  581052

    North Dakota Department of Transportation

    Bismarck, ND  United States  58505

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Piesch, Lara
    • Lee, EunSu
  • Publication Date: 2015-8

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 31p

Subject/Index Terms

Filing Info

  • Accession Number: 01576094
  • Record Type: Publication
  • Report/Paper Numbers: DP-283
  • Files: UTC, TRIS, RITA, ATRI, USDOT, STATEDOT
  • Created Date: Sep 25 2015 4:17PM