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Related Experiment Video

Updated: Jun 2, 2026

An Educational Video Demonstration of How to Prone a Critically Ill Intubated Patient
07:16

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Published on: November 30, 2022

A technical note concerning emergency bed demand.

Steve Gallivan1, Martin Utley

  • 1Clinical Operational Research Unit, Department of Mathematics, University College London, Gower Street, London, WC1E 6BT, UK. s.gallivan@ucl.ac.uk

Health Care Management Science
|May 12, 2011
PubMed
Summary
This summary is machine-generated.

Emergency hospital referrals, often modeled using Poisson distribution, can have their bed demand analyzed. This study derives simple formulas for mean and variance of bed demand based on referral rates and length of stay.

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A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
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Related Experiment Videos

Last Updated: Jun 2, 2026

An Educational Video Demonstration of How to Prone a Critically Ill Intubated Patient
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Published on: November 30, 2022

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
06:59

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings

Published on: November 9, 2016

Area of Science:

  • Healthcare Operations Research
  • Queueing Theory
  • Statistical Modeling

Background:

  • Emergency referrals to hospital inpatient units are frequently modeled using the Poisson distribution.
  • Accurate modeling of bed demand is crucial for efficient hospital resource management.

Purpose of the Study:

  • To derive the distribution of bed demand for hospital inpatient units.
  • To develop simple formulae for the mean and variance of bed demand.

Main Methods:

  • Utilizing queueing system analysis with an infinite number of servers.
  • Assuming independent and identically distributed lengths of stay for patients.
  • Applying undemanding analysis techniques.

Main Results:

  • The distribution of bed demand can be derived under the stated assumptions.
  • Simple formulae are established for the mean and variance of bed demand.
  • These formulae incorporate mean referral rates and the distribution of lengths of stay.

Conclusions:

  • The study provides a straightforward analytical method for understanding hospital bed demand.
  • This approach simplifies the calculation of key bed demand metrics.
  • The findings support better resource allocation in inpatient units through statistical modeling.