Open Access
Int. J. Metrol. Qual. Eng.
Volume 6, Number 2, 2015
Article Number 204
Number of page(s) 17
Published online 26 August 2015
  1. A.G. Perry, K.M. Moore, L.E. Levesque, C.W.L. Pickett, M.J. Korenberg, A Comparison of Methods for Forecasting Emergency Department Visits for Respiratory Illness Using Telehealth Ontario Calls (Canadian Public Health Association, 2010) [Google Scholar]
  2. S. Sadeghi, A. Barzi, N. Sadeghi, B. King, A Bayesian model for triage decision support, Int. J. Med. Inform. 75, 403–411 (2006) [CrossRef] [PubMed] [Google Scholar]
  3. P. Walsh, P. Cunningham, S.J. Rothenberg, S. O’Doherty, H. Hoey, R. Healy, An artificial neural network ensemble to predict disposition and length of stay in children presenting with bronchiolitis, Eur. J. Emerg. Med. 11, 259–264 (2004) [CrossRef] [PubMed] [Google Scholar]
  4. Yan Sun, Bee Hoon Heng, Seow Yian Tay, and Eillyne Seow, Predicting hospital admissions at emergency department triage using routine administrative data (Soc. Acad. Emerg. Med., 2011) [Google Scholar]
  5. J. Boyle, M. Jessup, J. Crilly, D. Green, J. Lind, M. Wallis, P. Miller, G. Fitzgerald, Predicting emergency department admissions, Emerg. Med. J. 29, 358–369 (2012) [CrossRef] [PubMed] [Google Scholar]
  6. G. Abraham, G.B. Byrnes, C.A. Bain, “Short-term forecasting of emergency inpatient flow”, IEEE Trans. Inf. Technol. Biomed. 13, 380–388 (2009) [CrossRef] [PubMed] [Google Scholar]
  7. M. Wargon, E. Casalino, Bertrand Guidet, MD, From model to forecasting: A multicenter study in emergency departments (the Society for Academic Emergency Medicine, 2010) [Google Scholar]
  8. C.-F. Chen, W.-H. Ho, H.-Y. Chou, S.-M. Yang, I.-T. Chen, H.-Y. Shi, Long-term prediction of emergency department revenue and visitor volume using autoregressive integrated moving average model, Comput. Math. Methods Med. 2011, 395690 (2011) [PubMed] [Google Scholar]
  9. Hye Jin Kam, Jin Ok Sung, Woong Park, Prediction of daily patient numbers for a regional emergency medical center using time series analysis (The Korean Society of Medical Informatics, 2010) [Google Scholar]
  10. Y. Sun, B.H. Heng, Y.T. Seow and E. Seow, Forecasting daily attendances at an emergency department to aid resource planning, BMC Emerg. Med. 9, 1 (2009) [CrossRef] [PubMed] [Google Scholar]
  11. L.M. Schweigler, J.S. Desmond, M.L. McCarthy, K.J. Bukowski, E.L. Ionides, J.G. Younger, Forecasting models of emergency department crowding (Society for Academic Emergency Medicine, 2009) [Google Scholar]
  12. S.J. Spencer, T. Alun, R.S. Evans, S.J. Welch, P.J. Haug, G.L. Snow, Forecasting daily patient volumes in the emergency department (The Society for Academic Emergency Medicine, 2008) [Google Scholar]
  13. J. Peck, S. Gaehde, J. Benneyan, S. Graves, D. Nightingale, Using prediction to improve patient flow in a health care delivery chain [Google Scholar]
  14. Guide de gestion de l’unité d’urgence, ministère de la santé et des services sociaux, 2000 [Google Scholar]
  15. R.J. Nelson, G.E. Demas, S.L. Klein, L.J. Kriegsfeld, F. Bronson, Seasonal fluctuations in disease prevalence (Cambridge University Press, 2002, pp. 58-88) [Google Scholar]
  16. N. Shlesinger, M. Schlesinger, Seasonal variation of rheumatic diseases, Discov. Med. 5, 64–69 (2005) [PubMed] [Google Scholar]
  17. J.R. Broyles, J.K. Cochran, A queuing-base statistical approximation of hospital emergency department boarding, in Proc. of the 41st International Conference on Computers & Industrial Engineering [Google Scholar]
  18. Champion R, Kinsman LD, Lee GA, et al. Forecasting emergency department presentations. Aust. Health Rev. 31, 83–90 (2007) [CrossRef] [PubMed] [Google Scholar]
  19. N.R. Hoot et al., Forecasting emergency department crowding: An external multicenter evaluation (The American College of Emergency Physicians, 2009) [Google Scholar]
  20. M.L. McCarthy, S.L. Zeger, R. Ding, D. Aronsky, N.R. Hoot, G.D. Kelen, The challenge of predicting demand for emergency department services (The Society for Academic Emergency Medicine, 2008) [Google Scholar]
  21. B.J. Morzuch, P. Geoffrey Allen, Forecasting hospital emergency department arrivals, in Proc. of 26th Annual Symposium on Forecasting Santander, Spain, June 11–14, 2006 [Google Scholar]
  22. Association québécoise d’établissements de santé et de service sociaux, Guide de gestion de l’urgence (2006) [Google Scholar]
  23. N.R. Hoot, D. Aronsky, Systematic review of emergency department crowding: Causes, effects, and solutions (The American College of Emergency Physicians, 2008) [Google Scholar]
  24. D.W. Spaite, F. Bartholomeaux, J. Guisto, E. Lindberg, B. Hull, A. Eyherabide, S. Lanyon, E.A. Criss, T.D. Valenzuela, C. Conroy, Rapid process redesign in a university-based emergency department: Decreasing waiting time intervals and improving patient satisfaction, Ann. Emerg. Med. 39, 168–177 (2002) [CrossRef] [PubMed] [Google Scholar]
  25. D.R. Eitel, S.E. Rudkin, M.A. Malvehy, J.P. Killeen, J.M. Pines, Improving service quality by understanding emergency department flow: a white paper and position statement prepared for the american academy of emergency medicine, J. Emerg. Med. 38, 70–79 (2010) [CrossRef] [PubMed] [Google Scholar]
  26. H. Beaulieu, J.A. Ferland, B. Gendron, P. Michelon, A mathematical programming approach for scheduling physicians in the emergency room, Health Care Manag. Sci. 3, 193–200 (2000) [CrossRef] [PubMed] [Google Scholar]
  27. Ministère de la Santé et des Services sociaux du Québec, Rapport annuel de gestion 2010–2011, 2011 [Google Scholar]
  28. Ordre des infirmières et infirmiers du Québec, Le triage à l’urgence: lignes directrices pour l’infirmière, 2007 [Google Scholar]
  29. S.J. Welch, B.R. Asplin, S. Stone-Griffith, S.J. Davidson, J. Augustine, J. Schuur, Emergency department operational metrics, measures and definitions: Results of the second performance measures and benchmarking summit (The American College of Emergency Physicians, 2010) [Google Scholar]
  30. Institut canadien d’information sur la santé, Temps d’attente et soins de santé au Canada : ce que nous savons et ce que nous ignorons, 2006 [Google Scholar]
  31. K. Grumbach, D. Keane, A. Bindman, Primary care and public emergency department overcrowding, Am. J. Public Health 83, 372–378 (1993) [CrossRef] [PubMed] [Google Scholar]
  32. S.J. Spencer, R.E. Scott, T.L. Allen, A. Thomas, P.J. Haug Shari, J. Welch C, G.L. Snow, A multivariate time series approach to modeling and forecasting demand in the emergency department, J. Biomed. Inform. 42, 123–139 (2009) [CrossRef] [PubMed] [Google Scholar]
  33. Ordre des infirmières et infirmiers du Québec, Lignes directrices pour l’infirmière pour le triage à l’urgence, Zotac Nvidia GeForce GTX 660 2GB DDR5 HDMI and Dual DVI [Google Scholar]
  34. User Guide, Rats 7, Estima, 2007 [Google Scholar]

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