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Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis
This study examined patient unpunctuality’s effect on patient appointment scheduling in the ultrasound department of a hospital. The study created a simulation system incorporating the formulated F3 distribution to describe patient unpunctuality. After the simulation model passed verification and va...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859491/ https://www.ncbi.nlm.nih.gov/pubmed/36673599 http://dx.doi.org/10.3390/healthcare11020231 |
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author | Chen, Ping-Shun Chen, Hsiu-Wen Abiog, Marielle Donice M. Guerrero, Roxanne Mae B. Latina, Christine Grace E. |
author_facet | Chen, Ping-Shun Chen, Hsiu-Wen Abiog, Marielle Donice M. Guerrero, Roxanne Mae B. Latina, Christine Grace E. |
author_sort | Chen, Ping-Shun |
collection | PubMed |
description | This study examined patient unpunctuality’s effect on patient appointment scheduling in the ultrasound department of a hospital. The study created a simulation system incorporating the formulated F3 distribution to describe patient unpunctuality. After the simulation model passed verification and validation processes, what-if scenarios were conducted under two policies: The preempt policy and the wait policy. A comparison of the total cost of each policy showed that the preempt policy performed better than the wait policy in the presence of unpunctuality. The study used sensitivity analyses to identify the different effects of patient unpunctuality on the system. The weights of the cost coefficient of both radiological technician’s idle time and patient waiting time must be equal in order to achieve a lower cost. The patient’s inter-arrival time must be close to the average total time in the system to achieve lower costs. Moreover, utilization decreases as the patient’s inter-arrival increases. Therefore, the patient’s inter-arrival time should be higher than, but close to, the service time to ensure less radiological technician’s idle time and patient waiting time. |
format | Online Article Text |
id | pubmed-9859491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98594912023-01-21 Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis Chen, Ping-Shun Chen, Hsiu-Wen Abiog, Marielle Donice M. Guerrero, Roxanne Mae B. Latina, Christine Grace E. Healthcare (Basel) Article This study examined patient unpunctuality’s effect on patient appointment scheduling in the ultrasound department of a hospital. The study created a simulation system incorporating the formulated F3 distribution to describe patient unpunctuality. After the simulation model passed verification and validation processes, what-if scenarios were conducted under two policies: The preempt policy and the wait policy. A comparison of the total cost of each policy showed that the preempt policy performed better than the wait policy in the presence of unpunctuality. The study used sensitivity analyses to identify the different effects of patient unpunctuality on the system. The weights of the cost coefficient of both radiological technician’s idle time and patient waiting time must be equal in order to achieve a lower cost. The patient’s inter-arrival time must be close to the average total time in the system to achieve lower costs. Moreover, utilization decreases as the patient’s inter-arrival increases. Therefore, the patient’s inter-arrival time should be higher than, but close to, the service time to ensure less radiological technician’s idle time and patient waiting time. MDPI 2023-01-12 /pmc/articles/PMC9859491/ /pubmed/36673599 http://dx.doi.org/10.3390/healthcare11020231 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Ping-Shun Chen, Hsiu-Wen Abiog, Marielle Donice M. Guerrero, Roxanne Mae B. Latina, Christine Grace E. Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis |
title | Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis |
title_full | Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis |
title_fullStr | Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis |
title_full_unstemmed | Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis |
title_short | Patient Unpunctuality’s Effect on Appointment Scheduling: A Scenario-Based Analysis |
title_sort | patient unpunctuality’s effect on appointment scheduling: a scenario-based analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859491/ https://www.ncbi.nlm.nih.gov/pubmed/36673599 http://dx.doi.org/10.3390/healthcare11020231 |
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