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Lean emergency medical operations

  • Bernardo Villarreal(corresponding author)
    ,
  • Edgar Granda
    ,
  • Samantha Lankenau
    ,
  • Andrea Montalvo
    ,
  • Ana Cristina Bastidas
    ,
  • José Arturo Garza-Reyes
*Corresponding author for this work
Research Output:
Contribution to journal
Conference article
Peer-review

Sustainable Development Goals

  • SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Publication metrics

Metrics

SciVal
Author count
6
SciVal
Paper percentile
28
SciVal
Citations
1
Scopus
Citations

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.

Publication Information

Output type

Research Output:
Contribution to journal
Conference article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 766-774 (9 pages)

Journal (Volume, Issue Number)

Proceedings of the International Conference on Industrial Engineering and Operations Management (Volume 2017, Issue JUL)

Publication milestones

  • Published - 2017

Publication status

Published - 2017

Publication IDs

  • Scopus: 85067018517

Related Event

Title

European International Conference on Industrial Engineering and Operations Management.IEOM 2017

Event type

Conference

Date

24/07/2017 - 25/07/2017