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More from less: Study on increasing throughput of COVID-19 screening and testing facility at an apex tertiary care hospital in New Delhi using discrete-event simulation software
BACKGROUND: One of the challenges has been coping with an increasing need for COVID-19 testing. A COVID-19 screening and testing facility was created. There was a need for increasing throughput of the facility within the existing space and limited resources. Discrete event simulation was used to add...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642042/ https://www.ncbi.nlm.nih.gov/pubmed/34868613 http://dx.doi.org/10.1177/20552076211040987 |
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author | Gowda, Naveen R Khare, Amitesh Vikas, H Singh, Angel R Sharma, D K Poulose, Ramya John, Dhayal C |
author_facet | Gowda, Naveen R Khare, Amitesh Vikas, H Singh, Angel R Sharma, D K Poulose, Ramya John, Dhayal C |
author_sort | Gowda, Naveen R |
collection | PubMed |
description | BACKGROUND: One of the challenges has been coping with an increasing need for COVID-19 testing. A COVID-19 screening and testing facility was created. There was a need for increasing throughput of the facility within the existing space and limited resources. Discrete event simulation was used to address this challenge. METHODOLOGY: A cross-sectional interventional study was done from September 2020 to October 2020. Detailed process mapping with all micro-processes was done. Patient arrival patterns and time taken at each step were measured by two independent observers at random intervals over two weeks. The existing system was simulated and a bottleneck was identified. Two possible alternatives to the problem were simulated and evaluated. RESULTS: Scenario 1 showed a maximum throughput of 316. The average milestone times of all the processes after the step of “Preparation of sampling kits” jumped 62%; from 82 to 133 min. Staff state times also showed that staff at this step was stretched and medical lab technicians were underutilized. Scenario 2 simulated the alternative with lesser time spent on sampling kit preparation with a 22.4% increase in throughput, but could have led to impaired quality check. Scenario 3 simulated with increased manpower at the stage of bottleneck with 26.5% increase in throughput and was implemented on-ground. CONCLUSION: Discrete event simulation helped to identify the bottleneck, simulate possible alternative solutions without disturbing the ongoing work, and finally choose the most suitable intervention to increase throughput, without the need for additional space allocation. It therefore helped to optimally utilize resources and get “more from less.” |
format | Online Article Text |
id | pubmed-8642042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-86420422021-12-04 More from less: Study on increasing throughput of COVID-19 screening and testing facility at an apex tertiary care hospital in New Delhi using discrete-event simulation software Gowda, Naveen R Khare, Amitesh Vikas, H Singh, Angel R Sharma, D K Poulose, Ramya John, Dhayal C Digit Health Original Research BACKGROUND: One of the challenges has been coping with an increasing need for COVID-19 testing. A COVID-19 screening and testing facility was created. There was a need for increasing throughput of the facility within the existing space and limited resources. Discrete event simulation was used to address this challenge. METHODOLOGY: A cross-sectional interventional study was done from September 2020 to October 2020. Detailed process mapping with all micro-processes was done. Patient arrival patterns and time taken at each step were measured by two independent observers at random intervals over two weeks. The existing system was simulated and a bottleneck was identified. Two possible alternatives to the problem were simulated and evaluated. RESULTS: Scenario 1 showed a maximum throughput of 316. The average milestone times of all the processes after the step of “Preparation of sampling kits” jumped 62%; from 82 to 133 min. Staff state times also showed that staff at this step was stretched and medical lab technicians were underutilized. Scenario 2 simulated the alternative with lesser time spent on sampling kit preparation with a 22.4% increase in throughput, but could have led to impaired quality check. Scenario 3 simulated with increased manpower at the stage of bottleneck with 26.5% increase in throughput and was implemented on-ground. CONCLUSION: Discrete event simulation helped to identify the bottleneck, simulate possible alternative solutions without disturbing the ongoing work, and finally choose the most suitable intervention to increase throughput, without the need for additional space allocation. It therefore helped to optimally utilize resources and get “more from less.” SAGE Publications 2021-09-27 /pmc/articles/PMC8642042/ /pubmed/34868613 http://dx.doi.org/10.1177/20552076211040987 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Gowda, Naveen R Khare, Amitesh Vikas, H Singh, Angel R Sharma, D K Poulose, Ramya John, Dhayal C More from less: Study on increasing throughput of COVID-19 screening and testing facility at an apex tertiary care hospital in New Delhi using discrete-event simulation software |
title | More from less: Study on increasing throughput of COVID-19 screening
and testing facility at an apex tertiary care hospital in New Delhi using
discrete-event simulation software |
title_full | More from less: Study on increasing throughput of COVID-19 screening
and testing facility at an apex tertiary care hospital in New Delhi using
discrete-event simulation software |
title_fullStr | More from less: Study on increasing throughput of COVID-19 screening
and testing facility at an apex tertiary care hospital in New Delhi using
discrete-event simulation software |
title_full_unstemmed | More from less: Study on increasing throughput of COVID-19 screening
and testing facility at an apex tertiary care hospital in New Delhi using
discrete-event simulation software |
title_short | More from less: Study on increasing throughput of COVID-19 screening
and testing facility at an apex tertiary care hospital in New Delhi using
discrete-event simulation software |
title_sort | more from less: study on increasing throughput of covid-19 screening
and testing facility at an apex tertiary care hospital in new delhi using
discrete-event simulation software |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642042/ https://www.ncbi.nlm.nih.gov/pubmed/34868613 http://dx.doi.org/10.1177/20552076211040987 |
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