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 in | Journal of healthcare engineering Vol. 2022; pp. 1 - 15 | 
|---|---|
| Main Authors | , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        England
          Hindawi
    
        29.11.2022
     | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 2040-2295 2040-2309 2040-2309  | 
| DOI | 10.1155/2022/1938719 | 
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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. | 
    
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| 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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| 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 | 
    
| URI | https://dx.doi.org/10.1155/2022/1938719 https://www.ncbi.nlm.nih.gov/pubmed/36483659 https://www.proquest.com/docview/2753308249 https://pubmed.ncbi.nlm.nih.gov/PMC9726263 https://downloads.hindawi.com/journals/jhe/2022/1938719.pdf  | 
    
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