Presented a Framework of Computational Modeling to Identify the Patient Admission Scheduling Problem in the Healthcare System

Operating room scheduling is a prominent study topic due to its complexity and significance. The increasing number of technical operating room scheduling articles produced each year calls for another evaluation of the literature to enable academics to respond to new trends more quickly. The mathemat...

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Published inJournal of healthcare engineering Vol. 2022; pp. 1 - 15
Main Authors Hosseini Rad, Reza, Baniasadi, Sahba, Yousefi, Parisa, Morabbi Heravi, Hakimeh, Shaban Al-Ani, Muzhir, Asghari Ilani, Mohsen
Format Journal Article
LanguageEnglish
Published England Hindawi 29.11.2022
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Online AccessGet full text
ISSN2040-2295
2040-2309
2040-2309
DOI10.1155/2022/1938719

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Abstract Operating room scheduling is a prominent study topic due to its complexity and significance. The increasing number of technical operating room scheduling articles produced each year calls for another evaluation of the literature to enable academics to respond to new trends more quickly. The mathematical application of a model for the patient admission scheduling issue with stochastic arrivals and departures is the subject of this study. The approach for applying our model to real-world issues is discussed here. We present a solution technique for efficient computing, a numerical model analysis, and examples to demonstrate the methodology. This study looked at the challenge of assigning procedures to operate rooms in the face of ambiguity regarding surgery length and the arrival of emergency patients based on a flexible policy (capacity reservation). We demonstrate that the proposed methods derived from deterministic models are inadequate compared to the answers produced from our stochastic model using simple numerical examples. We also use heuristics to estimate the objective function to build more complicated numerical examples for large-scale issues, demonstrating that our methodology can be applied quickly to real-world situations that often include big information sets.
AbstractList Operating room scheduling is a prominent study topic due to its complexity and significance. The increasing number of technical operating room scheduling articles produced each year calls for another evaluation of the literature to enable academics to respond to new trends more quickly. The mathematical application of a model for the patient admission scheduling issue with stochastic arrivals and departures is the subject of this study. The approach for applying our model to real-world issues is discussed here. We present a solution technique for efficient computing, a numerical model analysis, and examples to demonstrate the methodology. This study looked at the challenge of assigning procedures to operate rooms in the face of ambiguity regarding surgery length and the arrival of emergency patients based on a flexible policy (capacity reservation). We demonstrate that the proposed methods derived from deterministic models are inadequate compared to the answers produced from our stochastic model using simple numerical examples. We also use heuristics to estimate the objective function to build more complicated numerical examples for large-scale issues, demonstrating that our methodology can be applied quickly to real-world situations that often include big information sets.
Operating room scheduling is a prominent study topic due to its complexity and significance. The increasing number of technical operating room scheduling articles produced each year calls for another evaluation of the literature to enable academics to respond to new trends more quickly. The mathematical application of a model for the patient admission scheduling issue with stochastic arrivals and departures is the subject of this study. The approach for applying our model to real-world issues is discussed here. We present a solution technique for efficient computing, a numerical model analysis, and examples to demonstrate the methodology. This study looked at the challenge of assigning procedures to operate rooms in the face of ambiguity regarding surgery length and the arrival of emergency patients based on a flexible policy (capacity reservation). We demonstrate that the proposed methods derived from deterministic models are inadequate compared to the answers produced from our stochastic model using simple numerical examples. We also use heuristics to estimate the objective function to build more complicated numerical examples for large-scale issues, demonstrating that our methodology can be applied quickly to real-world situations that often include big information sets.Operating room scheduling is a prominent study topic due to its complexity and significance. The increasing number of technical operating room scheduling articles produced each year calls for another evaluation of the literature to enable academics to respond to new trends more quickly. The mathematical application of a model for the patient admission scheduling issue with stochastic arrivals and departures is the subject of this study. The approach for applying our model to real-world issues is discussed here. We present a solution technique for efficient computing, a numerical model analysis, and examples to demonstrate the methodology. This study looked at the challenge of assigning procedures to operate rooms in the face of ambiguity regarding surgery length and the arrival of emergency patients based on a flexible policy (capacity reservation). We demonstrate that the proposed methods derived from deterministic models are inadequate compared to the answers produced from our stochastic model using simple numerical examples. We also use heuristics to estimate the objective function to build more complicated numerical examples for large-scale issues, demonstrating that our methodology can be applied quickly to real-world situations that often include big information sets.
Author Baniasadi, Sahba
Asghari Ilani, Mohsen
Shaban Al-Ani, Muzhir
Hosseini Rad, Reza
Morabbi Heravi, Hakimeh
Yousefi, Parisa
AuthorAffiliation 5 University of Human Development, College of Science and Technology, Department of Information Technology, Sulaymaniyah, KRG, Iraq
4 Department of Statistics, University of Bojnord, Bojnord, Iran
6 School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran
1 Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran
3 Department of Industrial Engineering, Qazvin Islamic Azad University (QIAU), Qazvin, Iran
2 Master of Industrial Engineering, Department of Industrial Engineering, University of Houston, Houston, TX, USA
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  doi: 10.2147/jmdh.s278479
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  year: 2014
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  article-title: Insights into physician scheduling: a case study of public hospital departments in Sweden
  publication-title: International Journal of Health Care Quality Assurance
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  doi: 10.1111/poms.12426
– ident: 64
  doi: 10.1007/978-3-319-67308-0_15
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Snippet Operating room scheduling is a prominent study topic due to its complexity and significance. The increasing number of technical operating room scheduling...
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SubjectTerms Delivery of Health Care
Humans
Patient Admission
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Title Presented a Framework of Computational Modeling to Identify the Patient Admission Scheduling Problem in the Healthcare System
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