Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation
We consider an ambulatory care unit (ACU) in a large cancer centre, where operational and resource utilization challenges led to overcrowding, excessive delays, and concerns regarding safety of critical patient care duties. We use simulation to analyze the simultaneous impact of operations, scheduli...
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Veröffentlicht in: | Health care management science 2009-12, Vol.12 (4), p.392-407 |
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description | We consider an ambulatory care unit (ACU) in a large cancer centre, where operational and resource utilization challenges led to overcrowding, excessive delays, and concerns regarding safety of critical patient care duties. We use simulation to analyze the simultaneous impact of operations, scheduling, and resource allocation on patient wait time, clinic overtime, and resource utilization. The impact of these factors has been studied before, but usually in isolation. Further, our model considers multiple clinics operating concurrently, and includes the extra burden of training residents and medical students during patient consults. Through scenario analyses we found that the best outcomes were obtained when not one but multiple changes were implemented simultaneously. We developed configurations that achieve a reduction of up to 70% in patient wait times and 25% in physical space requirements, with the same appointment volume. The key findings of the study are the importance of on time clinic start, the need for improved patient scheduling; and the potential improvements from allocating examination rooms flexibly and dynamically among individual clinics within each of the oncology programs. These findings are currently being evaluated for implementation by senior management. |
doi_str_mv | 10.1007/s10729-009-9103-1 |
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We use simulation to analyze the simultaneous impact of operations, scheduling, and resource allocation on patient wait time, clinic overtime, and resource utilization. The impact of these factors has been studied before, but usually in isolation. Further, our model considers multiple clinics operating concurrently, and includes the extra burden of training residents and medical students during patient consults. Through scenario analyses we found that the best outcomes were obtained when not one but multiple changes were implemented simultaneously. We developed configurations that achieve a reduction of up to 70% in patient wait times and 25% in physical space requirements, with the same appointment volume. The key findings of the study are the importance of on time clinic start, the need for improved patient scheduling; and the potential improvements from allocating examination rooms flexibly and dynamically among individual clinics within each of the oncology programs. These findings are currently being evaluated for implementation by senior management.</description><subject>Ambulatory care</subject><subject>Ambulatory clinic</subject><subject>Appointments and Schedules</subject><subject>British Columbia</subject><subject>Business and Management</subject><subject>Cancer</subject><subject>Clinics</subject><subject>Computer Simulation</subject><subject>Econometrics</subject><subject>Health Administration</subject><subject>Health care</subject><subject>Health Care Rationing - organization & administration</subject><subject>Health Informatics</subject><subject>Humans</subject><subject>Internship and Residency - organization & administration</subject><subject>Management</subject><subject>Medical students</subject><subject>Oncology</subject><subject>Operations Research/Decision Theory</subject><subject>Outpatient</subject><subject>Outpatient care facilities</subject><subject>Outpatient Clinics, Hospital - organization & administration</subject><subject>Patient safety</subject><subject>Physicians</subject><subject>Process Assessment (Health Care)</subject><subject>Process engineering</subject><subject>Process improvement</subject><subject>Scheduling</subject><subject>Simulation</subject><subject>Studies</subject><subject>Time and Motion Studies</subject><subject>Time Factors</subject><issn>1386-9620</issn><issn>1572-9389</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>X2L</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1UUuO1TAQjBCIGQYOwAZZbFgF_EnseDk88dVISAjWlu0473mInWA7M3qsOAAX4HqchI4yDBISi7Jb6qpyt6uqHhP8nGAsXmSCBZU1xrKWBLOa3KlOSStoLVkn70LNOl5LTvFJ9SDnS4xxizm5X51QqLqWdqfVj4-uX6yPezTr4l0s6Fr7gooPLiMde-TDnKarlZBcnpZkHVqKH_03oE8R6YJeJl98PqDdNC7BeI12OlqX0PneRXv89f0nGAWzjLpM6YisTuAQ1zcOaVr2B5R9WJvg9rC6N-gxu0c391n1-fWrT7u39cWHN-925xe1bXhXatFbOfRccGtkI3DLeSu4HozQusOiJ8bohjSiJXww2vSUOYdJwwgl2g2iNeyserb5wmpfF5eLCj5bN446umnJSrCGMsxFB8yn_zAv4Q8iDKcoFbLrJKZAIhvJpinn5AY1Jx90OiqC1RqU2oJSEJRag1IENO83TXKzs7eCL3o-rD8U1JVimlA4jgC6Kpn2gAYwA5ikqgHrQwlg9uRmysUE19-6_YkZCHQjZGjFvUt_1_j_iL8BQCC67g</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>Santibáñez, Pablo</creator><creator>Chow, Vincent S.</creator><creator>French, John</creator><creator>Puterman, Martin L.</creator><creator>Tyldesley, Scott</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20091201</creationdate><title>Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation</title><author>Santibáñez, Pablo ; Chow, Vincent S. ; French, John ; Puterman, Martin L. ; Tyldesley, Scott</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-7dc9fd676cb9470566576afb7aa807d1bba4147516fbabd23ee0143121aef75b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Ambulatory care</topic><topic>Ambulatory clinic</topic><topic>Appointments and Schedules</topic><topic>British Columbia</topic><topic>Business and Management</topic><topic>Cancer</topic><topic>Clinics</topic><topic>Computer Simulation</topic><topic>Econometrics</topic><topic>Health Administration</topic><topic>Health care</topic><topic>Health Care Rationing - organization & administration</topic><topic>Health Informatics</topic><topic>Humans</topic><topic>Internship and Residency - organization & administration</topic><topic>Management</topic><topic>Medical students</topic><topic>Oncology</topic><topic>Operations Research/Decision Theory</topic><topic>Outpatient</topic><topic>Outpatient care facilities</topic><topic>Outpatient Clinics, Hospital - organization & administration</topic><topic>Patient safety</topic><topic>Physicians</topic><topic>Process Assessment (Health Care)</topic><topic>Process engineering</topic><topic>Process improvement</topic><topic>Scheduling</topic><topic>Simulation</topic><topic>Studies</topic><topic>Time and Motion Studies</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Santibáñez, Pablo</creatorcontrib><creatorcontrib>Chow, Vincent S.</creatorcontrib><creatorcontrib>French, John</creatorcontrib><creatorcontrib>Puterman, Martin L.</creatorcontrib><creatorcontrib>Tyldesley, Scott</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</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 Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Health care management science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Santibáñez, Pablo</au><au>Chow, Vincent S.</au><au>French, John</au><au>Puterman, Martin L.</au><au>Tyldesley, Scott</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation</atitle><jtitle>Health care management science</jtitle><stitle>Health Care Manag Sci</stitle><addtitle>Health Care Manag Sci</addtitle><date>2009-12-01</date><risdate>2009</risdate><volume>12</volume><issue>4</issue><spage>392</spage><epage>407</epage><pages>392-407</pages><issn>1386-9620</issn><eissn>1572-9389</eissn><abstract>We consider an ambulatory care unit (ACU) in a large cancer centre, where operational and resource utilization challenges led to overcrowding, excessive delays, and concerns regarding safety of critical patient care duties. We use simulation to analyze the simultaneous impact of operations, scheduling, and resource allocation on patient wait time, clinic overtime, and resource utilization. The impact of these factors has been studied before, but usually in isolation. Further, our model considers multiple clinics operating concurrently, and includes the extra burden of training residents and medical students during patient consults. Through scenario analyses we found that the best outcomes were obtained when not one but multiple changes were implemented simultaneously. We developed configurations that achieve a reduction of up to 70% in patient wait times and 25% in physical space requirements, with the same appointment volume. The key findings of the study are the importance of on time clinic start, the need for improved patient scheduling; and the potential improvements from allocating examination rooms flexibly and dynamically among individual clinics within each of the oncology programs. These findings are currently being evaluated for implementation by senior management.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>20058528</pmid><doi>10.1007/s10729-009-9103-1</doi><tpages>16</tpages></addata></record> |
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subjects | Ambulatory care Ambulatory clinic Appointments and Schedules British Columbia Business and Management Cancer Clinics Computer Simulation Econometrics Health Administration Health care Health Care Rationing - organization & administration Health Informatics Humans Internship and Residency - organization & administration Management Medical students Oncology Operations Research/Decision Theory Outpatient Outpatient care facilities Outpatient Clinics, Hospital - organization & administration Patient safety Physicians Process Assessment (Health Care) Process engineering Process improvement Scheduling Simulation Studies Time and Motion Studies Time Factors |
title | Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation |
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