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 Concept Videos

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.5K
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
1.5K
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

1.5K
Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
1.5K
Rational Expressions01:28

Rational Expressions

479
Rational expressions are algebraic fractions in which both the numerator and the denominator are polynomials. These expressions follow the arithmetic rules of numerical fractions but require extra care due to the presence of variables. A fundamental part of working with rational expressions is identifying values that make the expression undefined, typically those that result in division by zero or undefined radicals.Determining the DomainThe domain of a rational expression includes all real...
479
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

4.2K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
4.2K
Hospitals-II00:59

Hospitals-II

1.2K
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
1.2K
Determination of Renal Drug Clearance: Graphical and Midpoint Methods01:07

Determination of Renal Drug Clearance: Graphical and Midpoint Methods

467
Renal clearance, a crucial parameter in pharmacokinetics, can be determined using two different methods: the graphical method and the midpoint method. These methods provide insights into the rate of drug excretion by the kidneys and aid in assessing renal function.
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
467

You might also read

Related Articles

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

Sort by
Same author

World Health Organization disability assessment schedule 2.0 (WHODAS 2.0) and risk of readmission among older patients discharged from the ED - a prospective cohort study.

Geriatric nursing (New York, N.Y.)·2026
Same author

Effect of a point-of-care ultrasound-driven diagnostic pathway on diagnostic certainty in emergency department patients with dyspnea: a randomized controlled substudy.

European journal of emergency medicine : official journal of the European Society for Emergency Medicine·2026
Same author

Corrigendum to "Impact of active placebo controls on estimated drug effects in randomized trials: a meta-epidemiological study" [Journal of Clinical Epidemiology 188 (2025) 111998].

Journal of clinical epidemiology·2025
Same author

Hypersensitivity to Opioids: Prevalence, Mechanisms, Diagnosis and Management.

Basic & clinical pharmacology & toxicology·2025
Same author

Prognosis after resection or ablation of hepatocellular carcinoma: real-world evidence from a Danish population-based cohort.

Scandinavian journal of gastroenterology·2025
Same author

A point-of-care ultrasound-driven diagnostic pathway for emergency department patients with dyspnoea: a randomised controlled trial.

The European respiratory journal·2025

Related Experiment Video

Updated: Mar 19, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

18.0K

A generic method for evaluating crowding in the emergency department.

Andreas Halgreen Eiset1, Mogens Erlandsen2, Anders Brøns Møllekær3

  • 1Research Centre for Emergency Medicine, Aarhus University Hospital, Aarhus, Denmark. ahe@clin.au.dk.

BMC Emergency Medicine
|June 16, 2016
PubMed
Summary

A new generic queuing model analyzes emergency department (ED) crowding using readily available data. This method provides detailed insights into patient flow dynamics and identifies high-risk periods for overcrowding.

Keywords:
CrowdingEDEmergency departmentGenericMethodModelPatient flowQueue

More Related Videos

Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department
07:52

Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department

Published on: January 29, 2011

17.1K
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

21.0K

Related Experiment Videos

Last Updated: Mar 19, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

18.0K
Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department
07:52

Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department

Published on: January 29, 2011

17.1K
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

21.0K

Area of Science:

  • Healthcare Management
  • Operations Research
  • Public Health

Background:

  • Emergency department (ED) crowding is a significant issue.
  • Existing methods for analyzing ED crowding are often complex and difficult to implement clinically.
  • There is a need for a generic, practical method to assess ED crowding.

Purpose of the Study:

  • To develop a generic method for describing and analyzing ED crowding.
  • To utilize measurements readily available within the ED.
  • To empirically test the developed method in a clinical setting.

Main Methods:

  • A conceptual queuing model was developed, dividing ED patient flow into queues based on event timestamps.
  • Queue lengths were calculated using the formula Q(t+1) = Q(t) + A(t) - D(t), with a 30-minute temporal resolution.
  • The method was applied to prospectively collected data from Aarhus University Hospital, Denmark, over a one-year period.

Main Results:

  • A generic queuing model was successfully computed using existing patient timestamps.
  • The analysis revealed a high risk of bed occupancy exceeding 100% during day and evening shifts, particularly on weekdays.
  • A 'carry over' effect of crowding between shifts and days was identified.

Conclusions:

  • The developed method offers a simple and generic approach to gain detailed insights into ED crowding dynamics.
  • This model can be extended to incorporate multiple queues for enhanced information.
  • The findings highlight the practical utility of the method for ED management.