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Flow Sheet

Flow Sheet

Flowsheets are valuable tools in nursing documentation. They enable healthcare professionals to efficiently record and monitor various patient assessments and measurements in a consolidated format.
Here's a closer look at the examples of flowsheets commonly used by nurses:
Graphic Sheet Documentation:

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Updated: May 26, 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

Emergency department patient flow simulations using spreadsheets.

Michael G Klein¹, Gilles Reinhardt

¹Desautels Faculty of Management, McGill University, Montreal, QC, Canada. michael.klein2@mail.mcgill.ca

Simulation in Healthcare : Journal of the Society for Simulation in Healthcare

|January 10, 2012

Summary

Spreadsheet simulations offer a cost-effective and user-friendly alternative to traditional discrete-event simulation software for Emergency Department operational planning. These spreadsheet models provide reliable results comparable to complex software, enhancing accessibility for stakeholders.

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Area of Science:

Health Services Research
Operations Research
Health Informatics

Background:

Traditional discrete-event simulation software presents challenges in complexity, cost, and training for Emergency Department (ED) stakeholders.
These simulations are crucial for assessing operational interventions, developing performance measures, and aiding in ED budgeting and planning.

Purpose of the Study:

To introduce and evaluate a novel simulation platform that operates within spreadsheet software.
To demonstrate that spreadsheet-based simulations can produce results as reliable as traditional methods while being more accessible.

Main Methods:

A spreadsheet simulation model was developed, representing each row as one simulated minute.
Uncertainty in patient arrivals, type, routing, and treatment times was managed using the "rand()" function.
An equivalence test was employed to compare average length-of-stay figures with a traditional simulation platform.

Main Results:

The study found minimal significant differences in average length-of-stay between spreadsheet simulations and traditional models.
This indicates comparable effectiveness in predicting patient flow metrics.

Conclusions:

Spreadsheet simulations are as effective as traditional discrete-event simulation software for ED operational analysis.
They offer significant advantages in ease of use, understanding, implementation, and cost-effectiveness.
While requiring different expertise, spreadsheet simulations minimize data handling errors and allow for customized output analysis.