Problem and Significance

Problem

Simmulating an emergency room (ER) system, where patients arrive, are triaged, receive treatment, and are discharged.

The problem is to analyze the performance of the ER system by calculating the average wait time for patients and generating histograms of patient wait times and severity levels.

Significance

The simulation helps in understanding and evaluating the efficiency of the ER system. By calculating the average wait time, it provides a quantitative measure of how long patients have to wait before receiving treatment. This information can be used to identify bottlenecks or inefficiencies in the system and guide improvements. The histograms of wait times and severity levels provide a visual representation of the distribution of these factors, allowing for further analysis and insights into patient flow and severity patterns in the ER. This information can be valuable for resource allocation, capacity planning, and improving overall patient care in the emergency department.

library(png)

# Set the file path of the .png image
image_path <- "flowchart_1_2.png"

# Read the .png image
image <- readPNG(image_path)

# Display the image
plot(1, type = "n", xlim = c(0, 1), ylim = c(0, 1), xlab = "", ylab = "")
rasterImage(image, 0, 0, 1, 1)