Forecasting daily attendances at an emergency department to aid resource planning

BMC Emergency Medicine

Volumn 9, Issue , 2009, Pages

  Sun, Yan ^a   Heng, Bee Hoon ^a   Seow, Yian Tay ^b   Seow, Eillyne ^b  

^a NATIONAL HEALTHCARE GROUP   (Singapore)

^b TAN TOCK SENG HOSPITAL   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AIR POLLUTION; AIR QUALITY; AMBIENT AIR; ARTICLE; CORRELATION ANALYSIS; EMERGENCY CARE; EMERGENCY HEALTH SERVICE; EMERGENCY WARD; ENVIRONMENTAL TEMPERATURE; GENERAL HOSPITAL; HEALTH CARE PLANNING; HUMIDITY; INDEPENDENT VARIABLE; LEISURE; MULTIVARIATE ANALYSIS; PERIODICITY; PREDICTION; RESOURCE ALLOCATION; SEASONAL VARIATION; STUDENT T TEST; TIME SERIES ANALYSIS; UNIVARIATE ANALYSIS; VALIDATION PROCESS; WORKLOAD; ANALYSIS OF VARIANCE; FORECASTING; HEALTH SERVICE; HOSPITAL PLANNING; HUMAN; METHODOLOGY; PERSONNEL MANAGEMENT; PUBLIC HOSPITAL; STATISTICAL MODEL;

ANALYSIS OF VARIANCE; EMERGENCY SERVICE, HOSPITAL; FORECASTING; HEALTH SERVICES NEEDS AND DEMAND; HOSPITAL PLANNING; HOSPITALS, PUBLIC; HUMANS; MODELS, STATISTICAL; PERSONNEL STAFFING AND SCHEDULING;

EID: 60849094469     PISSN: None     EISSN: 1471227X     Source Type: Journal    
DOI: 10.1186/1471-227X-9-1     Document Type: Article

References (18)

1. Tandberg D Qualls C Time series forecasts of emergency department patient volume, length of stay, and acuity Ann Emerg Med 1994, 23(2):299-306. 10.1016/S0196-0644(94)70044-3 8304612
2. Milner PC Forecasting the demand on accident and emergency departments in health districts in the Trent region Stat Med 1988, 7:1061-72. 10.1002/sim.4780071007 3206002
3. Milner PC Ten-year follow-up of ARIMA forecasts for attendances at accident and emergency department in the Trent region Stat Med 1997, 16:2117-25. 10.1002/ (SICI)1097-0258(19970930)16:18<2117::AID-SIM649>3.0.CO;2-E 9308136
4. Rotstein Z Wilf-Miron R Lavi B Shahar A Gabbay U Noy S The dynamics of patient visits to a public hospital ED: A statistical model Am J Emerg Med 1997, 15(6):596-9. 10.1016/S0735-6757(97)90166-2 9337370
5. Sterk WE Shryock EG Modern methods improve hospital forecasting Healthc Financ Manage 1987, 41:96-8. 10280837
6. Jones SA Joy MP Forecasting demand of emergency care Health Care Manag Sci 2002, 5(4):297-305. 10.1023/A:1020390425029 12437279
7. Abdel-Aal R Mangoud AM Modeling and forecasting monthly patient volume at a primary health care clinic using univariate time-series analysis Computer Methods and Programs in Biomedicine 2003, 56(3):235-247. 10.1016/S0169-2607(98)00032-7
8. Holleman DR Bowling RL Gathy A Predicting daily visits to a walk-in clinic and emergency department using calendar and weather data Journal of General Internal Medicine 1996, 11(4):237-9. 10.1007/BF02642481 8744882
9. Farmer RDT Emami J Models for forecasting bed requirements in the acute sector J Epidemiol Community Health 1990, 44:307-2. 1060675 2277253 10.1136/jech.44.4.307
10. Linden A Adams J Roberts N Evaluating disease management program effectiveness: An introduction to time series analysis Dis Manage 2003, 6(4):243-255. 10.1089/109350703322682559
11. Chatfield C The analysis of time series: An introduction Boca Raton: Chapman & Hall/CRC 6 2004
12. SPSS SPSS trends 15.0 2006
13. Box GEP Jenkins GM Reinsel GC Time series analysis: Forecasting and control Pearson Edcation, Delhi 1994.
14. Website of National Environment Agency of Singapore http://www.nea.gov.sg
15. Kendall MG Time Series New York: Oxford University Press 1994.
16. Dockery DW Pope CA Acute respiratory effects of particulate air pollution Annu Rev Public Health 1994, 15:107-132. 10.1146/ annurev.pu.15.050194.000543 8054077
17. Saldiva PH Pope CA Schwartz J Dockery DW Lichtenfels AJ Salge JM Barone I Bohm GM Air pollution and mortality in elderly people: A time-series study in Sao Paulo, Brazil Arch Environ Health 1995, 50(2):159-163. 7786052
18. Anderson HR Atkinson RW Bremner SA Marston L Particulate air pollution and hospital admissions for cardiorespiratory diseases: Are the elderly at greater risk? Eur Respir J 2003, 40(Suppl):39s-46s. 10.1183/ 09031936.03.00402203