Lean emergency medical operations

Bernardo Villarreal*, Edgar Granda, Samantha Lankenau, Andrea Montalvo, Ana Cristina Bastidas, José Arturo Garza-Reyes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The fundamental responsibilities of Emergency Medical Service (EMS) systems are to provide urgent medical care, such as pre-hospital care, and to transport the patient to the hospital if needed. The agility and efficiency of EMS systems are major public concerns. Since the EMS process involved is fundamentally a transportation process, the Lean Transportation approach is a viable option for improving Emergency Medical Service (EMS) operations performance. The identification of waste during the ambulance cycle time is the basis for designing an operations improvement strategy. The scheme utilized uses modified versions of the Transportation Value Stream Map (TVSM) and The Operational Vehicle Effectiveness (TOVE) Index. Thus, availability, performance and quality wastes are identified to define the improvement strategy. Results of the application for the Monterrey metropolitan operations of the Mexican Red Cross are provided.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management
PublisherIEOM Society
Pages766-774
Number of pages9
Volume2017
EditionJUL
Publication statusPublished - Jul 2017
EventEuropean International Conference on Industrial Engineering and Operations Management.IEOM 2017 -
Duration: 24 Jul 201725 Jul 2017

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management

Conference

ConferenceEuropean International Conference on Industrial Engineering and Operations Management.IEOM 2017
Period24/7/1725/7/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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