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Improving surgeon utilization in an orthopedic department using simulation modeling

PURPOSE: Worldwide more than two billion people lack appropriate access to surgical services due to mismatch between existing human resource and patient demands. Improving utilization of existing workforce capacity can reduce the existing gap between surgical demand and available workforce capacity....

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Detalles Bibliográficos
Autores principales: Simwita, Yusta W, Helgheim, Berit I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5741007/
https://www.ncbi.nlm.nih.gov/pubmed/29355193
http://dx.doi.org/10.2147/JHL.S112856
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author Simwita, Yusta W
Helgheim, Berit I
author_facet Simwita, Yusta W
Helgheim, Berit I
author_sort Simwita, Yusta W
collection PubMed
description PURPOSE: Worldwide more than two billion people lack appropriate access to surgical services due to mismatch between existing human resource and patient demands. Improving utilization of existing workforce capacity can reduce the existing gap between surgical demand and available workforce capacity. In this paper, the authors use discrete event simulation to explore the care process at an orthopedic department. Our main focus is improving utilization of surgeons while minimizing patient wait time. METHODS: The authors collaborated with orthopedic department personnel to map the current operations of orthopedic care process in order to identify factors that influence poor surgeons utilization and high patient waiting time. The authors used an observational approach to collect data. The developed model was validated by comparing the simulation output with the actual patient data that were collected from the studied orthopedic care process. The authors developed a proposal scenario to show how to improve surgeon utilization. RESULTS: The simulation results showed that if ancillary services could be performed before the start of clinic examination services, the orthopedic care process could be highly improved. That is, improved surgeon utilization and reduced patient waiting time. Simulation results demonstrate that with improved surgeon utilizations, up to 55% increase of future demand can be accommodated without patients reaching current waiting time at this clinic, thus, improving patient access to health care services. CONCLUSION: This study shows how simulation modeling can be used to improve health care processes. This study was limited to a single care process; however the findings can be applied to improve other orthopedic care process with similar operational characteristics.
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spelling pubmed-57410072018-01-19 Improving surgeon utilization in an orthopedic department using simulation modeling Simwita, Yusta W Helgheim, Berit I J Healthc Leadersh Original Research PURPOSE: Worldwide more than two billion people lack appropriate access to surgical services due to mismatch between existing human resource and patient demands. Improving utilization of existing workforce capacity can reduce the existing gap between surgical demand and available workforce capacity. In this paper, the authors use discrete event simulation to explore the care process at an orthopedic department. Our main focus is improving utilization of surgeons while minimizing patient wait time. METHODS: The authors collaborated with orthopedic department personnel to map the current operations of orthopedic care process in order to identify factors that influence poor surgeons utilization and high patient waiting time. The authors used an observational approach to collect data. The developed model was validated by comparing the simulation output with the actual patient data that were collected from the studied orthopedic care process. The authors developed a proposal scenario to show how to improve surgeon utilization. RESULTS: The simulation results showed that if ancillary services could be performed before the start of clinic examination services, the orthopedic care process could be highly improved. That is, improved surgeon utilization and reduced patient waiting time. Simulation results demonstrate that with improved surgeon utilizations, up to 55% increase of future demand can be accommodated without patients reaching current waiting time at this clinic, thus, improving patient access to health care services. CONCLUSION: This study shows how simulation modeling can be used to improve health care processes. This study was limited to a single care process; however the findings can be applied to improve other orthopedic care process with similar operational characteristics. Dove Medical Press 2016-10-05 /pmc/articles/PMC5741007/ /pubmed/29355193 http://dx.doi.org/10.2147/JHL.S112856 Text en © 2016 Simwita and Helgheim. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Simwita, Yusta W
Helgheim, Berit I
Improving surgeon utilization in an orthopedic department using simulation modeling
title Improving surgeon utilization in an orthopedic department using simulation modeling
title_full Improving surgeon utilization in an orthopedic department using simulation modeling
title_fullStr Improving surgeon utilization in an orthopedic department using simulation modeling
title_full_unstemmed Improving surgeon utilization in an orthopedic department using simulation modeling
title_short Improving surgeon utilization in an orthopedic department using simulation modeling
title_sort improving surgeon utilization in an orthopedic department using simulation modeling
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5741007/
https://www.ncbi.nlm.nih.gov/pubmed/29355193
http://dx.doi.org/10.2147/JHL.S112856
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