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

Statistical method using operating room information system data to determine anesthetist weekend call requirements.

F Dexter1, A Macario, R D Traub

  • 1Department of Anesthesia, University of Iowa, Iowa City, USA.

AANA Journal
|July 6, 2000
PubMed
Summary

This study introduces a statistical method to optimize anesthetist scheduling for weekend surgical call. It minimizes staffing while managing understaffing risk, ensuring efficient operating room coverage.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Development of 2,3-butanedione-sensing element using Pt-nanoparticle-decorated tin oxide for health applications.

Frontiers in chemistry·2025
Same author

Literature search for healthcare management decision-making on how to increase productivity by performing more surgical cases in the same staffed time.

Revista espanola de anestesiologia y reanimacion..·2024
Same author

The relative efficacy of multiple syringe tip disinfection techniques against virulent staphylococcus contamination.

The Journal of hospital infection·2024
Same author

Characterizing the molecular epidemiology of anaesthesia work area transmission of Staphylococcus aureus sequence type 5.

The Journal of hospital infection·2023
Same author

Transmission of Staphylococcus aureus in the anaesthesia work area has greater risk of association with development of surgical site infection when resistant to the prophylactic antibiotic administered for surgery.

The Journal of hospital infection·2023
Same author

American Society of Anesthesiologists' Relative Value Guide.

Anaesthesia·2022

Area of Science:

  • Healthcare Operations Research
  • Anesthesiology Staffing Models
  • Statistical Methods in Healthcare

Background:

  • Optimizing staffing for surgical services, particularly for weekend call, is complex.
  • Balancing adequate anesthetist coverage with minimizing personnel hours is a key challenge.
  • Existing methods may not adequately account for variable caseloads and shift structures.

Purpose of the Study:

  • To develop and present a statistical method for determining minimum anesthetist staffing for weekend surgical call.
  • To provide a tool for anesthesia groups to predict staffing coverage and manage understaffing risk.
  • To enable efficient resource allocation in operating room suites during weekends.

Main Methods:

  • Utilized data from surgical services information systems for analysis.

Related Experiment Videos

  • Developed a statistical model incorporating variable shift start times and durations.
  • Incorporated historical weekend operating room caseload data into the model.
  • Predicted staffing coverage to meet demand while adhering to a specified risk tolerance for understaffing.

    • Main Results:

    • The method determines the minimum number of anesthetists required for weekend call.
    • It allows for prediction of staffing coverage across 24-hour weekend periods.
    • The model quantifies the risk of understaffing based on current or proposed schedules.

    Conclusions:

    • The statistical method enables anesthesia groups to minimize on-call anesthetist numbers and hours.
    • It facilitates maintaining an acceptable level of understaffing risk.
    • The approach aids in both optimizing future schedules and assessing current staffing plans.