Literature DB >> 19041529

Using demand analysis and system status management for predicting ED attendances and rostering.

Marcus Eng Hock Ong1, Khoy Kheng Ho2, Tiong Peng Tan2, Seoh Kwee Koh2, Zain Almuthar3, Jerry Overton4, Swee Han Lim2.   

Abstract

INTRODUCTION: It has been observed that emergency department (ED) attendances are not random events but rather have definite time patterns and trends that can be observed historically.
OBJECTIVES: To describe the time demand patterns at the ED and apply systems status management to tailor ED manpower demand.
METHODS: Observational study of all patients presenting to the ED at the Singapore General Hospital during a 3-year period was conducted. We also conducted a time series analysis to determine time norms regarding physician activity for various severities of patients.
RESULTS: The yearly ED attendances increased from 113387 (2004) to 120764 (2005) and to 125773 (2006). There was a progressive increase in severity of cases, with priority 1 (most severe) increasing from 6.7% (2004) to 9.1% (2006) and priority 2 from 33.7% (2004) to 35.1% (2006). We noticed a definite time demand pattern, with seasonal peaks in June, weekly peaks on Mondays, and daily peaks at 11 to 12 am. These patterns were consistent during the period of the study. We designed a demand-based rostering tool that matched doctor-unit-hours to patient arrivals and severity. We also noted seasonal peaks corresponding to public holidays.
CONCLUSION: We found definite and consistent patterns of patient demand and designed a rostering tool to match ED manpower demand.

Entities:  

Mesh:

Year:  2009        PMID: 19041529     DOI: 10.1016/j.ajem.2008.01.032

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  4 in total

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Authors:  Stephen Jones; Seán Cournane; Niall Sheehy; Lucy Hederman
Journal:  J Digit Imaging       Date:  2016-12       Impact factor: 4.056

2.  Are Smaller Emergency Departments More Prone to Volume Variability?

Authors:  Sara Nourazari; Jonathan W Harding; Samuel R Davis; Ori Litvak; Stephen J Traub; Leon D Sanchez
Journal:  West J Emerg Med       Date:  2021-07-14

3.  Modeling Emergency Department crowding: Restoring the balance between demand for and supply of emergency medicine.

Authors:  John Pastor Ansah; Salman Ahmad; Lin Hui Lee; Yuzeng Shen; Marcus Eng Hock Ong; David Bruce Matchar; Lukas Schoenenberger
Journal:  PLoS One       Date:  2021-01-12       Impact factor: 3.240

4.  Delays in service for non-emergent patients due to arrival of emergent patients in the emergency department: a case study in Hong Kong.

Authors:  Mai Xu; Tse Chiu Wong; Shui Yee Wong; Kwai Sang Chin; Kwok Leung Tsui; Renee Y Hsia
Journal:  J Emerg Med       Date:  2013-06-04       Impact factor: 1.484

  4 in total

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