Characterizing the value of predictive analytics in facilitating hospital patient flow

References

• Arslanian-Engoren, C. (2004) Do emergency nurses’ triage decisions predict differences in admission or discharge diagnoses for acute coronary syndromes? Journal of Cardiovascular Nursing, 19(4), 280–286.
   PubMedGoogle Scholar
• Baesler, F.F., Jahnsen, H.E., and DaCosta, M. (2003) Emergency departments I: the use of simulation and design of experiments for estimating maximum capacity in an emergency room. Winter Simulation Conference Proceedings 2003, 1903–1906.
   Google Scholar
• Bernstein, S., Aronsky, D., Duseja, R., Epstein, S., Handel, D., Hwang, U., McCarthy, M., McConnell, J., Pines, J., Rathlev, N., Schafermeyer, R., Zwemer, F., Schull, M., and Asplin, B. (2009) The effect of emergency department crowding on clinically oriented outcomes. Academic Emergency Medicine, 16(1), 1–10.
   PubMed Web of Science ®Google Scholar
• Clesham, K., Mason, S., Gray, J., Walters, S., and Cooke, V. (2008) Can emergency medical service staff predict the disposition of patients they are transporting? Emergency Medicine Journal, 25(10), 691–694.
   PubMed Web of Science ®Google Scholar
• Connelly, L. and Bair, A.E. (2004) Discrete event simulation of emergency department activity: A platform for system‐level operations research. Academic Emergency Medicine, 11(11), 1177–1185.
   PubMed Web of Science ®Google Scholar
• Falvo, T., Grove, L., Stachura, R., Vega, D., Stike, R., Schlenker, M., and Zirkin, W. (2007) The opportunity loss of boarding admitted patients in the emergency department. Academic Emergency Medicine, 14(4), 332–337.
   PubMed Web of Science ®Google Scholar
• Graff, L., Stevens, C., Spaite, D., and Foody, J. (2002) Measuring and improving quality in emergency medicine. Academic Emergency Medicine, 9(11), 1091–1107.
   PubMed Web of Science ®Google Scholar
• Gustafson, D. (1968) Length of stay. Health Services Research, 3(1), 12–34.
   PubMedGoogle Scholar
• Horwitz, L., Green, J., and Bradley, E. (2010) US Emergency Department Performance on Wait Time and Length of Visit. Annals of Emergency Medicine, 55(2), 133–141.
   PubMed Web of Science ®Google Scholar
• Institute of Medicine (2001) Crossing the Quality Chasm. National Academy Press.
   Google Scholar
• Jacobson, S., Hall, S., and Swisher, J. (2006) Discrete-event simulation of health care systems. In Patient Flow: Reducing Delay in Healthcare Delivery, Hall, R. and Hillier, F. (eds). Springer US, Los Angeles, CA, pp. 211–252.
   Google Scholar
• Kolb, E., Schoening, S., Peck, J., and Lee, T. (2008) Reducing emergency department overcrowding: five patient buffer concepts in comparison. In Proceedings of the 40th Conference on Winter Simulation, Miami, Florida, pp. 1516–1525.
   Google Scholar
• Leegon, J., Jones, I., Lanaghan K., Aronsky, D. (2005) Predicting hospital admission for Emergency Department patients using a Bayesian network. AMIA Annual Symposium Proceedings, p. 1022.
   Google Scholar
• Levine, S., Colwell, C., Pons, P., Gravitz, C., Haukoos, J., and McVaney, K. (2006) How well do paramedics predict admission to the hospital? A prospective study. Journal of Emergency Medicine, 31(1), 1–5.
   PubMed Web of Science ®Google Scholar
• Li, J., Guo, L., and Handly, N. (2009) Hospital admission prediction using pre-hospital variables. IEEE International Conference on Bioinformatics and Biomedicine, 283–286.
   Google Scholar
• Li, J. and Howard, P.K. (2010) Modeling and analysis of hospital emergency department: An analytical framework and problem formulation. 2010 IEEE Conference on Automation Science and Engineering (CASE), 897–902.
   Google Scholar
• Meehl, P. (1954) Clinical vs. Statistical Prediction: A Theoretical Analysis and a Review of the Evidence. University of Minnesota Press, Minneapolis.
   Google Scholar
• Olshaker, J. and Rathlev, N. (2006) Emergency department overcrowding and ambulance diversion: the impact and potential solutions of extended boarding of admitted patients in the emergency department. Journal of Emergency Medicine, 30(3), 351–356.
   PubMed Web of Science ®Google Scholar
• OptTek Systems Inc. (2006) OptQuest for Arena version 4.03.
   Google Scholar
• Paul, S., Reddy, M., and DeFlitch, C. (2010) A systematic review of simulation studies investigating emergency department overcrowding. SIMULATION, 86(8–9), 559–571.
   Google Scholar
• Peck, J., Benneyan, J., Nightingale, D., and Gaehde, S. (2012) Predicting emergency department inpatient admissions to improve same-day patient flow. Academic Emergency Medicine; 19(9), E1045–E1054.
   PubMed Web of Science ®Google Scholar
• Peck, J. and Kim, S.-G. (2010) Improving patient flow through axiomatic design of hospital emergency departments. CIRP Journal of Manufacturing Science and Technology, 2(4), 255–260.
   Google Scholar
• Robinson, G., Davis, L. and Leifer, R. (1966). Prediction of hospital length of stay. Health Services Research, 1(3).
   PubMedGoogle Scholar
• Rockwell Automation Inc. (2010) Arena Discrete Event Simulation Software version 13.5.
   Google Scholar
• Sun, Y., Heng, B., Tay, S., and Seow, E. (2011) Predicting hospital admissions at emergency department triage using routine administrative data. Academic Emergency Medicine, 18(8), 844–50.
   PubMed Web of Science ®Google Scholar
• US GAO (2003) Hospital Emergency Departments: Crowded Conditions Vary among Hospitals and Communities. GAO-03-460.
   Google Scholar
• US GAO (2009) Hospital Emergency Departments: Crowding Continues to Occur, and Some Patients Wait Longer than Recommended Time Frames. GAO-09-347.
   Google Scholar
• Vicellio, P., Schneider, S., Asplin, B., Blum, F., Broida, R., Bukata, W., Hill, M., Hoffenberg, S., Welch, S. (2008) Emergency department crowding: High impact solutions. American College of Emergency Physicians. http://www.acep.org/content.aspx?id=32050.
   Google Scholar
• Walsh, P., Cunningham, P., Rothenberg, S., O’Doherty, S., Hoey, H., Healy, R. (2004) An artificial neural network ensemble to predict disposition and length of stay in children presenting with bronchiolitis. European Journal of Emergency Medicine, 11(5), 259–264.
   PubMedGoogle Scholar
• Yen, K. and Gorelick, H. (2007) Strategies to improve flow in the pediatric emergency department. Pediatric Emergency Care, 23(10), 745–749.
   PubMedGoogle Scholar