Search research articles

Related Concept Videos

Planning Nursing Care II

Planning Nursing Care II

A nursing care plan can present in two forms: informal and formal. Informal is a care plan for the individual use of the nurse and goals they wish to accomplish during their shift. Informal care plans are not included in the patient chart. A formal nursing care plan is a written or computerized guide that organizes patient care. It is further subdivided into two: standardized and individualized care plans. Standardized care plans are pre-populated care plans for specific patient populations,...

Methods of Documentation VI: Case Management Model

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...

Planning Nursing Care I

Planning Nursing Care I

The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...

Pharmacokinetic Models: Comparison and Selection Criterion

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.

Pharmacokinetic Models: Overview

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...

Three-Compartment Open Model

Three-Compartment Open Model

The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...

You might also read

Related Articles

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

Sort by

Same author

Identifying opportunities to increase organ donation after brain death. An observational study in Sweden 2009-2014.

Acta anaesthesiologica Scandinavica·2016

Same author

Severe sepsis in the ICU is often missing in hospital discharge codes.

Acta anaesthesiologica Scandinavica·2016

Same author

What determines immediate use of invasive ventilation in patients with COPD?

Acta anaesthesiologica Scandinavica·2013

Same author

Need for improved antimicrobial and infection control stewardship in Vietnamese intensive care units.

Tropical medicine & international health : TM & IH·2011

Same author

Long-term effect of the ICU-diary concept on quality of life after critical illness.

Acta anaesthesiologica Scandinavica·2010

Same author

Characteristics and long-term outcome of acute exacerbations in chronic obstructive pulmonary disease: an analysis of cases in the Swedish Intensive Care Registry during 2002-2006.

Acta anaesthesiologica Scandinavica·2008

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 7, 2026

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

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

Published on: January 15, 2017

A generic simulation model for planning critical care resource requirements.

K Steins¹, S M Walther

¹Department of Science and Technology, Linköping University, Linköping, Sweden.

|September 17, 2013

Summary

Accurate intensive care capacity planning requires accounting for variability. A new simulation model, incorporating admission rate dependency on occupancy, accurately predicts critical care resource needs.

Related Experiment Videos

Last Updated: May 7, 2026

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

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

Published on: January 15, 2017

Area of Science:

Healthcare Management
Operations Research
Biomedical Engineering

Background:

Traditional intensive care capacity planning often overlooks non-linearity and variability, leading to inaccurate resource allocation.
Mean admission numbers and length of stay are insufficient for precise capacity forecasting.

Purpose of the Study:

To develop and validate a generic simulation model for intensive care unit (ICU) capacity planning.
To improve the accuracy of critical care resource requirement assessments.

Main Methods:

Developed a generic ICU simulation model using anonymized patient data from four ICUs.
Stepwise model modification and calibration to identify key parameters and their values.
Incorporated admission rate dependency on actual ICU occupancy.

Main Results:

The final simulation model demonstrated high accuracy, with occupancy, coverage, and transfers within 2% of actual data across all four ICUs.
Identified the dependency of admission rate on actual occupancy as a critical factor for model accuracy.
Model predictions closely matched real-world ICU data after calibration.

Conclusions:

Simulation modeling offers a more accurate approach to intensive care capacity planning than traditional methods.
The developed model provides reliable decision support for optimizing critical care resource management.
Accounting for dynamic factors like occupancy-dependent admission rates is crucial for effective ICU planning.