Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital

Hani Attar; Ahmed Solyman; Rania A. Sayed; Dana M. Mohamed; Mohamed Hafez; Mohanad A. Deif

doi:10.1109/EICEEAI60672.2023.10590454

Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital

Hani Attar, Ahmed Solyman, Rania A. Sayed, Dana M. Mohamed, Mohamed Hafez, Mohanad A. Deif

Electrical Power Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Downloads (Pure)

Abstract

The emergency department (ED), operating around the clock every day of the year, serves a diverse range of patients with varying medical conditions, making it the vital core of a hospital. Consequently, optimizing and simulating the ED's processes becomes essential to enhance the quality of care provided. This study offers a case analysis employing simulation to assess patient flows in a hospital's emergency department. Our objective is to evaluate the impacts of system enhancements within the ED. This model aims to measure patients' time from their ED entry, determine daily patient numbers, and calculate the overall patient movement time within the department. If the patient's condition is serious, he will be presented immediately to the doctor without waiting. A doctor will be added to the unit if the number of patients exceeds the standard limit.

Original language	English
Title of host publication	2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	9798350373363
ISBN (Print)	9798350373370
DOIs	https://doi.org/10.1109/EICEEAI60672.2023.10590454
Publication status	Published - 18 Jul 2024
Event	2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence - Zarqa, Jordan Duration: 27 Dec 2023 → 28 Dec 2023 https://eiceeai.zu.edu.jo/ (Link to conference website)

Publication series

Name	International Engineering Conference on Electrical, Energy, and Artificial Intelligence
Publisher	IEEE
ISSN (Print)	None

Conference

Conference	2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence
Abbreviated title	EICEEAI 2023
Country/Territory	Jordan
City	Zarqa
Period	27/12/23 → 28/12/23
Internet address	https://eiceeai.zu.edu.jo/ (Link to conference website)

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Health Informatics

Documents and Links

10.1109/EICEEAI60672.2023.10590454

Author accepted manuscriptAuthor accepted manuscript, 302 KBLicence: CC BY

Cite this

Attar, H., Solyman, A., Sayed, R. A., Mohamed, D. M., Hafez, M., & Deif, M. A. (2024). Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital. In 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI) (International Engineering Conference on Electrical, Energy, and Artificial Intelligence). IEEE. https://doi.org/10.1109/EICEEAI60672.2023.10590454

Attar, Hani ; Solyman, Ahmed ; Sayed, Rania A. et al. / Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital. 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI). IEEE, 2024. (International Engineering Conference on Electrical, Energy, and Artificial Intelligence).

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title = "Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital",

abstract = "The emergency department (ED), operating around the clock every day of the year, serves a diverse range of patients with varying medical conditions, making it the vital core of a hospital. Consequently, optimizing and simulating the ED's processes becomes essential to enhance the quality of care provided. This study offers a case analysis employing simulation to assess patient flows in a hospital's emergency department. Our objective is to evaluate the impacts of system enhancements within the ED. This model aims to measure patients' time from their ED entry, determine daily patient numbers, and calculate the overall patient movement time within the department. If the patient's condition is serious, he will be presented immediately to the doctor without waiting. A doctor will be added to the unit if the number of patients exceeds the standard limit.",

author = "Hani Attar and Ahmed Solyman and Sayed, {Rania A.} and Mohamed, {Dana M.} and Mohamed Hafez and Deif, {Mohanad A.}",

year = "2024",

month = jul,

day = "18",

doi = "10.1109/EICEEAI60672.2023.10590454",

language = "English",

isbn = "9798350373370",

series = "International Engineering Conference on Electrical, Energy, and Artificial Intelligence",

publisher = "IEEE",

booktitle = "2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)",

address = "United States",

note = "2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023 ; Conference date: 27-12-2023 Through 28-12-2023",

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Attar, H, Solyman, A, Sayed, RA, Mohamed, DM, Hafez, M & Deif, MA 2024, Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital. in 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI). International Engineering Conference on Electrical, Energy, and Artificial Intelligence, IEEE, 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, Zarqa, Jordan, 27/12/23. https://doi.org/10.1109/EICEEAI60672.2023.10590454

Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital. / Attar, Hani; Solyman, Ahmed; Sayed, Rania A. et al.
2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI). IEEE, 2024. (International Engineering Conference on Electrical, Energy, and Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital

AU - Attar, Hani

AU - Solyman, Ahmed

AU - Sayed, Rania A.

AU - Mohamed, Dana M.

AU - Hafez, Mohamed

AU - Deif, Mohanad A.

PY - 2024/7/18

Y1 - 2024/7/18

N2 - The emergency department (ED), operating around the clock every day of the year, serves a diverse range of patients with varying medical conditions, making it the vital core of a hospital. Consequently, optimizing and simulating the ED's processes becomes essential to enhance the quality of care provided. This study offers a case analysis employing simulation to assess patient flows in a hospital's emergency department. Our objective is to evaluate the impacts of system enhancements within the ED. This model aims to measure patients' time from their ED entry, determine daily patient numbers, and calculate the overall patient movement time within the department. If the patient's condition is serious, he will be presented immediately to the doctor without waiting. A doctor will be added to the unit if the number of patients exceeds the standard limit.

AB - The emergency department (ED), operating around the clock every day of the year, serves a diverse range of patients with varying medical conditions, making it the vital core of a hospital. Consequently, optimizing and simulating the ED's processes becomes essential to enhance the quality of care provided. This study offers a case analysis employing simulation to assess patient flows in a hospital's emergency department. Our objective is to evaluate the impacts of system enhancements within the ED. This model aims to measure patients' time from their ED entry, determine daily patient numbers, and calculate the overall patient movement time within the department. If the patient's condition is serious, he will be presented immediately to the doctor without waiting. A doctor will be added to the unit if the number of patients exceeds the standard limit.

U2 - 10.1109/EICEEAI60672.2023.10590454

DO - 10.1109/EICEEAI60672.2023.10590454

M3 - Conference contribution

AN - SCOPUS:85200003371

SN - 9798350373370

T3 - International Engineering Conference on Electrical, Energy, and Artificial Intelligence

BT - 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)

PB - IEEE

T2 - 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence

Y2 - 27 December 2023 through 28 December 2023

ER -

Attar H, Solyman A, Sayed RA, Mohamed DM, Hafez M, Deif MA. Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital. In 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI). IEEE. 2024. (International Engineering Conference on Electrical, Energy, and Artificial Intelligence). doi: 10.1109/EICEEAI60672.2023.10590454

Improving emergency departments: simulation-based optimization of patients waiting time and the number of staff present in a hospital

Abstract

Publication series

Conference

ASJC Scopus subject areas

Documents and Links

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