Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A methodology for estimating ambulance requirements.

K M Mital

    Health and Population; Perspectives and Issues
    |December 12, 1981
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same journal

    Maternal care receptivity--an innovative approach for the evaluation of MCH services.

    Health and population; perspectives and issues·1982
    Same journal

    Health economics--concepts and conceptual problems.

    Health and population; perspectives and issues·1981
    Same journal

    Tribal health programme.

    Health and population; perspectives and issues·1981
    Same journal

    Time series analysis of out patients at Urban Health Centre, Suraj Kund, Meerut.

    Health and population; perspectives and issues·1981
    Same journal

    Public relations in hospital.

    Health and population; perspectives and issues·1981
    Same journal

    Framework for systematic analysis of alternative approaches to tuberculosis control programme.

    Health and population; perspectives and issues·1981
    See all related articles

    This study used queuing analysis to determine optimal ambulance fleet size. It focused on minimizing long waiting times to ensure desired hospital service levels.

    Area of Science:

    • Healthcare Management
    • Operations Research
    • Emergency Medical Services

    Background:

    • Adequate ambulance fleet size is critical for hospital operational efficiency.
    • Traditional methods for fleet sizing may not adequately address patient service level expectations.

    Purpose of the Study:

    • To estimate ambulance fleet requirements using queuing analysis.
    • To prioritize minimizing prolonged patient waiting times over average waiting times.

    Main Methods:

    • Application of queuing theory to model ambulance services.
    • Analysis focused on the probability and duration of long waiting times.
    • Defined ambulance requirements based on a target service level.

    Main Results:

    Related Experiment Videos

    • Queuing analysis provides a robust framework for ambulance fleet sizing.
    • Focusing on long waiting times offers a more patient-centric approach to service level determination.
    • This method helps hospitals optimize resource allocation for emergency transport.

    Conclusions:

    • Queuing analysis, emphasizing long waits, is a superior method for determining ambulance fleet size.
    • This approach ensures a higher desired service level for emergency medical services.
    • Hospitals can improve patient outcomes and operational efficiency through optimized fleet management.