Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study
Emergency and Trauma Department (ETD) is an important element for a hospital. It provides medical service, which operates 24 hours a day in most hospitals. However overcrowding is not exclusion for ETD. Overflowing occurs due to affordable services provided by public hospitals, since it is funded by...
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American Institute of Physics Inc.
2014
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035791848&doi=10.1063%2f1.4894329&partnerID=40&md5=713964922691ea0a4e74dc78b48e7c4e |
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2-s2.0-85035791848 Roslan S.; Tahir H.M.; Nordin N.A.M.; Zaharudin Z.A. Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study 2014 AIP Conference Proceedings 1613 10.1063/1.4894329 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035791848&doi=10.1063%2f1.4894329&partnerID=40&md5=713964922691ea0a4e74dc78b48e7c4e Emergency and Trauma Department (ETD) is an important element for a hospital. It provides medical service, which operates 24 hours a day in most hospitals. However overcrowding is not exclusion for ETD. Overflowing occurs due to affordable services provided by public hospitals, since it is funded by the government. It is reported that a patient attending ETD must be treated within 90 minutes, in accordance to achieve the Key Performance Indicator (KPI). However, due to overcrowd situations, most patients have to wait longer than the KPI standard. In this paper, patient's average waiting time is analyzed. Using Chi-Square Test of Goodness, patient's inter arrival per hour is also investigated. As conclusion, Monday until Wednesday was identified as the days that exceed the KPI standard while Chi-Square Test of Goodness showed that the patient's inter arrival is independent and random. © 2014 AIP Publishing LLC. American Institute of Physics Inc. 0094243X English Conference paper All Open Access; Bronze Open Access |
author |
Roslan S.; Tahir H.M.; Nordin N.A.M.; Zaharudin Z.A. |
spellingShingle |
Roslan S.; Tahir H.M.; Nordin N.A.M.; Zaharudin Z.A. Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study |
author_facet |
Roslan S.; Tahir H.M.; Nordin N.A.M.; Zaharudin Z.A. |
author_sort |
Roslan S.; Tahir H.M.; Nordin N.A.M.; Zaharudin Z.A. |
title |
Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study |
title_short |
Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study |
title_full |
Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study |
title_fullStr |
Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study |
title_full_unstemmed |
Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study |
title_sort |
Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study |
publishDate |
2014 |
container_title |
AIP Conference Proceedings |
container_volume |
1613 |
container_issue |
|
doi_str_mv |
10.1063/1.4894329 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035791848&doi=10.1063%2f1.4894329&partnerID=40&md5=713964922691ea0a4e74dc78b48e7c4e |
description |
Emergency and Trauma Department (ETD) is an important element for a hospital. It provides medical service, which operates 24 hours a day in most hospitals. However overcrowding is not exclusion for ETD. Overflowing occurs due to affordable services provided by public hospitals, since it is funded by the government. It is reported that a patient attending ETD must be treated within 90 minutes, in accordance to achieve the Key Performance Indicator (KPI). However, due to overcrowd situations, most patients have to wait longer than the KPI standard. In this paper, patient's average waiting time is analyzed. Using Chi-Square Test of Goodness, patient's inter arrival per hour is also investigated. As conclusion, Monday until Wednesday was identified as the days that exceed the KPI standard while Chi-Square Test of Goodness showed that the patient's inter arrival is independent and random. © 2014 AIP Publishing LLC. |
publisher |
American Institute of Physics Inc. |
issn |
0094243X |
language |
English |
format |
Conference paper |
accesstype |
All Open Access; Bronze Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677911415848960 |