A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department
International Conference on Modeling, Optimization and Simulation (MOSIM 2020), Nov 2020, Agadir, Morocco The discrepancy between patient demand and the emergency departments (ED) capacity, that mainly depends on human resources and on beds available for patients, often lead to ED's overcrowdin...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Chouba, Ibtissem Amodeo, Lionel Yalaoui, Farouk Arbaoui, Taha Laplanche, David |
| description | International Conference on Modeling, Optimization and Simulation
(MOSIM 2020), Nov 2020, Agadir, Morocco The discrepancy between patient demand and the emergency departments (ED)
capacity, that mainly depends on human resources and on beds available for
patients, often lead to ED's overcrowding and to the increase in waiting time.
In this paper, we focus on the optimization of the human (medical and
paramedical staff) and material resources (beds) in the ED of the hospital
center of Troyes, France (CHT). We seek to minimize the total number of waiting
patients from their arrival to their discharge. We propose a mixed integer
linear program solved by a sample average approximation (SAA) approach. The
program has been tested on a set of real data gathered from the ED information
system. Numerical results show that the optimization of human and material
resources leads to a decrease of total number of waiting patients. |
| doi_str_mv | 10.48550/arxiv.2011.13596 |
| format | Article |
| fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2011_13596</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2011_13596</sourcerecordid><originalsourceid>FETCH-LOGICAL-a676-4f752f0002a564d6d93e4eeafd86580049a276807cf01522438942e35061d8323</originalsourceid><addsrcrecordid>eNotz71OwzAUQGEvDKjwAEz4BRL8H2eMSksrtSpC3aOr-CayVDuR46KWpwcK09mO9BHyxFmprNbsBdLFf5aCcV5yqWtzT1xD9_6Cjm5jxgET3fmIkOh7GocEga7HRDfnAJE20dE9ZEweTvQD5_GcOpzpYco--C_Ifow_E7oKmAaM3ZW-4gQpB4z5gdz1cJrx8b8LclyvjstNsTu8bZfNrgBTmUL1lRY9Y0yANsoZV0tUiNA7a7RlTNUgKmNZ1fWMayGUtLUSKDUz3Fkp5II8_21vzHZKPkC6tr_c9saV32apTs8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department</title><source>arXiv.org</source><creator>Chouba, Ibtissem ; Amodeo, Lionel ; Yalaoui, Farouk ; Arbaoui, Taha ; Laplanche, David</creator><creatorcontrib>Chouba, Ibtissem ; Amodeo, Lionel ; Yalaoui, Farouk ; Arbaoui, Taha ; Laplanche, David</creatorcontrib><description>International Conference on Modeling, Optimization and Simulation
(MOSIM 2020), Nov 2020, Agadir, Morocco The discrepancy between patient demand and the emergency departments (ED)
capacity, that mainly depends on human resources and on beds available for
patients, often lead to ED's overcrowding and to the increase in waiting time.
In this paper, we focus on the optimization of the human (medical and
paramedical staff) and material resources (beds) in the ED of the hospital
center of Troyes, France (CHT). We seek to minimize the total number of waiting
patients from their arrival to their discharge. We propose a mixed integer
linear program solved by a sample average approximation (SAA) approach. The
program has been tested on a set of real data gathered from the ED information
system. Numerical results show that the optimization of human and material
resources leads to a decrease of total number of waiting patients.</description><identifier>DOI: 10.48550/arxiv.2011.13596</identifier><language>eng</language><subject>Computer Science - Robotics</subject><creationdate>2020-11</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2011.13596$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2011.13596$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Chouba, Ibtissem</creatorcontrib><creatorcontrib>Amodeo, Lionel</creatorcontrib><creatorcontrib>Yalaoui, Farouk</creatorcontrib><creatorcontrib>Arbaoui, Taha</creatorcontrib><creatorcontrib>Laplanche, David</creatorcontrib><title>A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department</title><description>International Conference on Modeling, Optimization and Simulation
(MOSIM 2020), Nov 2020, Agadir, Morocco The discrepancy between patient demand and the emergency departments (ED)
capacity, that mainly depends on human resources and on beds available for
patients, often lead to ED's overcrowding and to the increase in waiting time.
In this paper, we focus on the optimization of the human (medical and
paramedical staff) and material resources (beds) in the ED of the hospital
center of Troyes, France (CHT). We seek to minimize the total number of waiting
patients from their arrival to their discharge. We propose a mixed integer
linear program solved by a sample average approximation (SAA) approach. The
program has been tested on a set of real data gathered from the ED information
system. Numerical results show that the optimization of human and material
resources leads to a decrease of total number of waiting patients.</description><subject>Computer Science - Robotics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz71OwzAUQGEvDKjwAEz4BRL8H2eMSksrtSpC3aOr-CayVDuR46KWpwcK09mO9BHyxFmprNbsBdLFf5aCcV5yqWtzT1xD9_6Cjm5jxgET3fmIkOh7GocEga7HRDfnAJE20dE9ZEweTvQD5_GcOpzpYco--C_Ifow_E7oKmAaM3ZW-4gQpB4z5gdz1cJrx8b8LclyvjstNsTu8bZfNrgBTmUL1lRY9Y0yANsoZV0tUiNA7a7RlTNUgKmNZ1fWMayGUtLUSKDUz3Fkp5II8_21vzHZKPkC6tr_c9saV32apTs8</recordid><startdate>20201127</startdate><enddate>20201127</enddate><creator>Chouba, Ibtissem</creator><creator>Amodeo, Lionel</creator><creator>Yalaoui, Farouk</creator><creator>Arbaoui, Taha</creator><creator>Laplanche, David</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20201127</creationdate><title>A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department</title><author>Chouba, Ibtissem ; Amodeo, Lionel ; Yalaoui, Farouk ; Arbaoui, Taha ; Laplanche, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a676-4f752f0002a564d6d93e4eeafd86580049a276807cf01522438942e35061d8323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science - Robotics</topic><toplevel>online_resources</toplevel><creatorcontrib>Chouba, Ibtissem</creatorcontrib><creatorcontrib>Amodeo, Lionel</creatorcontrib><creatorcontrib>Yalaoui, Farouk</creatorcontrib><creatorcontrib>Arbaoui, Taha</creatorcontrib><creatorcontrib>Laplanche, David</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chouba, Ibtissem</au><au>Amodeo, Lionel</au><au>Yalaoui, Farouk</au><au>Arbaoui, Taha</au><au>Laplanche, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department</atitle><date>2020-11-27</date><risdate>2020</risdate><abstract>International Conference on Modeling, Optimization and Simulation
(MOSIM 2020), Nov 2020, Agadir, Morocco The discrepancy between patient demand and the emergency departments (ED)
capacity, that mainly depends on human resources and on beds available for
patients, often lead to ED's overcrowding and to the increase in waiting time.
In this paper, we focus on the optimization of the human (medical and
paramedical staff) and material resources (beds) in the ED of the hospital
center of Troyes, France (CHT). We seek to minimize the total number of waiting
patients from their arrival to their discharge. We propose a mixed integer
linear program solved by a sample average approximation (SAA) approach. The
program has been tested on a set of real data gathered from the ED information
system. Numerical results show that the optimization of human and material
resources leads to a decrease of total number of waiting patients.</abstract><doi>10.48550/arxiv.2011.13596</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.48550/arxiv.2011.13596 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_arxiv_primary_2011_13596 |
| source | arXiv.org |
| subjects | Computer Science - Robotics |
| title | A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T05%3A07%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Mixed%20Integer%20Linear%20Program%20For%20Human%20And%20Material%20Resources%20Optimization%20In%20Emergency%20Department&rft.au=Chouba,%20Ibtissem&rft.date=2020-11-27&rft_id=info:doi/10.48550/arxiv.2011.13596&rft_dat=%3Carxiv_GOX%3E2011_13596%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |