Decision support for hospital evacuation and emergency response
Evacuation planning is an important part of a hospital’s emergency management plan. In an evacuation the safety and health of patients is the fundamental success parameter. Thus, in this paper we introduce an evacuation model, appropriate for planning and operations, that has the objective of minimi...
Gespeichert in:
Veröffentlicht in: | Annals of operations research 2014-10, Vol.221 (1), p.89-106 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 106 |
---|---|
container_issue | 1 |
container_start_page | 89 |
container_title | Annals of operations research |
container_volume | 221 |
creator | Bish, Douglas R. Agca, Esra Glick, Roger |
description | Evacuation planning is an important part of a hospital’s emergency management plan. In an evacuation the safety and health of patients is the fundamental success parameter. Thus, in this paper we introduce an evacuation model, appropriate for planning and operations, that has the objective of minimizing expected risk, both the threat risk that is forcing the evacuation, and the risk inherent in transporting patients, some in critical condition. Specifically, we study the allocation of patients, categorized by criticality and care requirements, to a limited fleet of vehicles of various capacities and medical capabilities, to be transported to appropriate receiving hospitals considering the current available space in each hospital for each category of patient. The model is an integer program, where the non-linear expected risks are calculated a-priori. This model has a structure that has excellent solution characteristics that permit us to solve large problems in a reasonable time, enabling the model to potentially be used for both planning and operations. To illustrate the solvability of this model and demonstrate its characteristics, we apply it to a realistic case study based on the evacuation of a large regional hospital. |
doi_str_mv | 10.1007/s10479-011-0943-y |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1629367718</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A383854458</galeid><sourcerecordid>A383854458</sourcerecordid><originalsourceid>FETCH-LOGICAL-c484t-4fa43958a58ceba924a788b392d4c005f536ea9c06de020690db9dced015d74f3</originalsourceid><addsrcrecordid>eNp10U1r3DAQBmBRUugmzQ_ozdBLD3U6siRbOpVl89HCQi_NWWjlsdfBKzkau7D_vjabwyaQi3TQ8w6DXsa-cLjhANUP4iArkwPnORgp8uMHtuKqKnIjhL5gKyiUzJUQ8IldEj0BzFKrFft5i76jLoaMpmGIacyamLJ9pKEbXZ_hP-cnNy7vLtQZHjC1GPwxS0hDDISf2cfG9YTXL_cVe7y_-7v5lW__PPzerLe5l1qOuWycFEZpp7THnTOFdJXWO2GKWnoA1ShRojMeyhqhgNJAvTO1xxq4qivZiCv27TR3SPF5QhrtoSOPfe8CxoksLwsjyqrieqZf39CnOKUwb2e5KrnkSsKZal2PtgtNHJPzy1C7FlpoJaVa1PcztZuoC0jzQV27H6l1E9Frzk_cp0iUsLFD6g4uHS0Hu_RkTz3Z-fft0pM9zpnilKHZhhbT2brvhv4DdtqUSQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1561415408</pqid></control><display><type>article</type><title>Decision support for hospital evacuation and emergency response</title><source>Springer Nature - Complete Springer Journals</source><source>EBSCOhost Business Source Complete</source><creator>Bish, Douglas R. ; Agca, Esra ; Glick, Roger</creator><creatorcontrib>Bish, Douglas R. ; Agca, Esra ; Glick, Roger</creatorcontrib><description>Evacuation planning is an important part of a hospital’s emergency management plan. In an evacuation the safety and health of patients is the fundamental success parameter. Thus, in this paper we introduce an evacuation model, appropriate for planning and operations, that has the objective of minimizing expected risk, both the threat risk that is forcing the evacuation, and the risk inherent in transporting patients, some in critical condition. Specifically, we study the allocation of patients, categorized by criticality and care requirements, to a limited fleet of vehicles of various capacities and medical capabilities, to be transported to appropriate receiving hospitals considering the current available space in each hospital for each category of patient. The model is an integer program, where the non-linear expected risks are calculated a-priori. This model has a structure that has excellent solution characteristics that permit us to solve large problems in a reasonable time, enabling the model to potentially be used for both planning and operations. To illustrate the solvability of this model and demonstrate its characteristics, we apply it to a realistic case study based on the evacuation of a large regional hospital.</description><identifier>ISSN: 0254-5330</identifier><identifier>EISSN: 1572-9338</identifier><identifier>DOI: 10.1007/s10479-011-0943-y</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Accreditation ; Assistance in emergencies ; Business and Management ; Case studies ; Categories ; Combinatorics ; Critical care ; Decision making ; Decision support systems ; Emergency preparedness ; Evacuation ; Evacuations & rescues ; Hospital evacuation ; Hospitals ; Integer programming ; Mathematical models ; Methods ; Operations research ; Operations Research/Decision Theory ; Patients ; Pediatrics ; Planning ; Receiving ; Risk ; Theory of Computation ; Threats ; Vehicles</subject><ispartof>Annals of operations research, 2014-10, Vol.221 (1), p.89-106</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>COPYRIGHT 2014 Springer</rights><rights>Springer Science+Business Media New York 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-4fa43958a58ceba924a788b392d4c005f536ea9c06de020690db9dced015d74f3</citedby><cites>FETCH-LOGICAL-c484t-4fa43958a58ceba924a788b392d4c005f536ea9c06de020690db9dced015d74f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10479-011-0943-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10479-011-0943-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Bish, Douglas R.</creatorcontrib><creatorcontrib>Agca, Esra</creatorcontrib><creatorcontrib>Glick, Roger</creatorcontrib><title>Decision support for hospital evacuation and emergency response</title><title>Annals of operations research</title><addtitle>Ann Oper Res</addtitle><description>Evacuation planning is an important part of a hospital’s emergency management plan. In an evacuation the safety and health of patients is the fundamental success parameter. Thus, in this paper we introduce an evacuation model, appropriate for planning and operations, that has the objective of minimizing expected risk, both the threat risk that is forcing the evacuation, and the risk inherent in transporting patients, some in critical condition. Specifically, we study the allocation of patients, categorized by criticality and care requirements, to a limited fleet of vehicles of various capacities and medical capabilities, to be transported to appropriate receiving hospitals considering the current available space in each hospital for each category of patient. The model is an integer program, where the non-linear expected risks are calculated a-priori. This model has a structure that has excellent solution characteristics that permit us to solve large problems in a reasonable time, enabling the model to potentially be used for both planning and operations. To illustrate the solvability of this model and demonstrate its characteristics, we apply it to a realistic case study based on the evacuation of a large regional hospital.</description><subject>Accreditation</subject><subject>Assistance in emergencies</subject><subject>Business and Management</subject><subject>Case studies</subject><subject>Categories</subject><subject>Combinatorics</subject><subject>Critical care</subject><subject>Decision making</subject><subject>Decision support systems</subject><subject>Emergency preparedness</subject><subject>Evacuation</subject><subject>Evacuations & rescues</subject><subject>Hospital evacuation</subject><subject>Hospitals</subject><subject>Integer programming</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Operations research</subject><subject>Operations Research/Decision Theory</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Planning</subject><subject>Receiving</subject><subject>Risk</subject><subject>Theory of Computation</subject><subject>Threats</subject><subject>Vehicles</subject><issn>0254-5330</issn><issn>1572-9338</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>BENPR</sourceid><recordid>eNp10U1r3DAQBmBRUugmzQ_ozdBLD3U6siRbOpVl89HCQi_NWWjlsdfBKzkau7D_vjabwyaQi3TQ8w6DXsa-cLjhANUP4iArkwPnORgp8uMHtuKqKnIjhL5gKyiUzJUQ8IldEj0BzFKrFft5i76jLoaMpmGIacyamLJ9pKEbXZ_hP-cnNy7vLtQZHjC1GPwxS0hDDISf2cfG9YTXL_cVe7y_-7v5lW__PPzerLe5l1qOuWycFEZpp7THnTOFdJXWO2GKWnoA1ShRojMeyhqhgNJAvTO1xxq4qivZiCv27TR3SPF5QhrtoSOPfe8CxoksLwsjyqrieqZf39CnOKUwb2e5KrnkSsKZal2PtgtNHJPzy1C7FlpoJaVa1PcztZuoC0jzQV27H6l1E9Frzk_cp0iUsLFD6g4uHS0Hu_RkTz3Z-fft0pM9zpnilKHZhhbT2brvhv4DdtqUSQ</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Bish, Douglas R.</creator><creator>Agca, Esra</creator><creator>Glick, Roger</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>3V.</scope><scope>7TA</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PKEHL</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20141001</creationdate><title>Decision support for hospital evacuation and emergency response</title><author>Bish, Douglas R. ; Agca, Esra ; Glick, Roger</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-4fa43958a58ceba924a788b392d4c005f536ea9c06de020690db9dced015d74f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accreditation</topic><topic>Assistance in emergencies</topic><topic>Business and Management</topic><topic>Case studies</topic><topic>Categories</topic><topic>Combinatorics</topic><topic>Critical care</topic><topic>Decision making</topic><topic>Decision support systems</topic><topic>Emergency preparedness</topic><topic>Evacuation</topic><topic>Evacuations & rescues</topic><topic>Hospital evacuation</topic><topic>Hospitals</topic><topic>Integer programming</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Operations research</topic><topic>Operations Research/Decision Theory</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Planning</topic><topic>Receiving</topic><topic>Risk</topic><topic>Theory of Computation</topic><topic>Threats</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bish, Douglas R.</creatorcontrib><creatorcontrib>Agca, Esra</creatorcontrib><creatorcontrib>Glick, Roger</creatorcontrib><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>ProQuest Central (Corporate)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of operations research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bish, Douglas R.</au><au>Agca, Esra</au><au>Glick, Roger</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decision support for hospital evacuation and emergency response</atitle><jtitle>Annals of operations research</jtitle><stitle>Ann Oper Res</stitle><date>2014-10-01</date><risdate>2014</risdate><volume>221</volume><issue>1</issue><spage>89</spage><epage>106</epage><pages>89-106</pages><issn>0254-5330</issn><eissn>1572-9338</eissn><abstract>Evacuation planning is an important part of a hospital’s emergency management plan. In an evacuation the safety and health of patients is the fundamental success parameter. Thus, in this paper we introduce an evacuation model, appropriate for planning and operations, that has the objective of minimizing expected risk, both the threat risk that is forcing the evacuation, and the risk inherent in transporting patients, some in critical condition. Specifically, we study the allocation of patients, categorized by criticality and care requirements, to a limited fleet of vehicles of various capacities and medical capabilities, to be transported to appropriate receiving hospitals considering the current available space in each hospital for each category of patient. The model is an integer program, where the non-linear expected risks are calculated a-priori. This model has a structure that has excellent solution characteristics that permit us to solve large problems in a reasonable time, enabling the model to potentially be used for both planning and operations. To illustrate the solvability of this model and demonstrate its characteristics, we apply it to a realistic case study based on the evacuation of a large regional hospital.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s10479-011-0943-y</doi><tpages>18</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0254-5330 |
ispartof | Annals of operations research, 2014-10, Vol.221 (1), p.89-106 |
issn | 0254-5330 1572-9338 |
language | eng |
recordid | cdi_proquest_miscellaneous_1629367718 |
source | Springer Nature - Complete Springer Journals; EBSCOhost Business Source Complete |
subjects | Accreditation Assistance in emergencies Business and Management Case studies Categories Combinatorics Critical care Decision making Decision support systems Emergency preparedness Evacuation Evacuations & rescues Hospital evacuation Hospitals Integer programming Mathematical models Methods Operations research Operations Research/Decision Theory Patients Pediatrics Planning Receiving Risk Theory of Computation Threats Vehicles |
title | Decision support for hospital evacuation and emergency response |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T17%3A36%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Decision%20support%20for%20hospital%20evacuation%20and%20emergency%20response&rft.jtitle=Annals%20of%20operations%20research&rft.au=Bish,%20Douglas%20R.&rft.date=2014-10-01&rft.volume=221&rft.issue=1&rft.spage=89&rft.epage=106&rft.pages=89-106&rft.issn=0254-5330&rft.eissn=1572-9338&rft_id=info:doi/10.1007/s10479-011-0943-y&rft_dat=%3Cgale_proqu%3EA383854458%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1561415408&rft_id=info:pmid/&rft_galeid=A383854458&rfr_iscdi=true |