Who Is Next: Patient Prioritization Under Emergency Department Blocking

References

• Affleck A, Parks P, Drummond A, Rowe BH, Ovens HJ (2013) Emergency department overcrowding and access block. CJEM 15(6):359–370.Crossref, Google Scholar
• Allon G, Deo S, Lin W (2013) The impact of size and occupancy of hospital on the extent of ambulance diversion: Theory and evidence. Oper. Res. 61(3):544–562.Link, Google Scholar
• American College of Emergency Physicians (2012) Publishing wait times for emergency department care: An information paper. Report, American College of Emergency Physicians, Baltimore.Google Scholar
• Ang E, Kwasnick S, Bayati M, Plambeck EL, Aratow M (2015) Accurate emergency department wait time prediction. Manufacturing Service Oper. Management 18(1):141–156.Link, Google Scholar
• Argon NT, Andradóttir S (2006) Replicated batch means for steady-state simulations. Naval Res. Logist. 53(6):508–524.Crossref, Google Scholar
• Armony M, Israelit S, Mandelbaum A, Marmor YN, Tseytlin Y, Yom-Tov GB (2015) On patient flow in hospitals: A data-based queueing-science perspective. Stochastic Systems 5(1):146–194.Link, Google Scholar
• Batt RJ, Terwiesch C (2015) Waiting patiently: An empirical study of queue abandonment in an emergency department. Management Sci. 61(1):39–59.Link, Google Scholar
• Batt RJ, Terwiesch C (2016) Early task initiation and other load-adaptive mechanisms in the emergency department. Management Sci. 63(11):3531–3551.Link, Google Scholar
• Batt RJ, KC D, Staats BR, Patterson BW (2019) The effects of discrete work shifts on a nonterminating service system. Production Oper. Management 28(6):1528–1544.Crossref, Google Scholar
• Berry Jaeker JA, Tucker AL (2017) Past the point of speeding up: The negative effects of workload saturation on efficiency and patient severity. Management Sci. 63(4):1042–1062.Link, Google Scholar
• Beveridge R, Clarke B, Janes L, Savage N, Thompson J, Dodd G, Murray M, Jordan CN, Warren D, Vadeboncoeur A (1998) Implementation Guidelines for the Canadian Emergency Department Triage & Acuity Scale (CTAS) (Canadian Association of Emergency Physicians).Google Scholar
• Cachon G, Terwiesch C (2008) Matching Supply with Demand(McGraw-Hill Publishing, New York).Google Scholar
• Çağlayan Ç, Liu Y, Ayer T, Pasupathy K, Nestler D, Sir M (2019) Physician staffing in emergency rooms (ERs): Opening the black-box of ER care via a multi-class multi-stage network. Preprint, submitted June 21, https://dx.doi.org/10.2139/ssrn.3400900.Google Scholar
• Campello F, Ingolfsson A, Shumsky RA (2016) Queueing models of case managers. Management Sci. 63(3):882–900.Link, Google Scholar
• Canadian Institute for Health Information (2016) Commonwealth fund survey: Infographic. Accessed May 18, 2020, https://www.cihi.ca/en/commonwealth-fund-survey-2016-infographic.Google Scholar
• Carmen R, Van Nieuwenhuyse I, Van Houdt B (2018) Inpatient boarding in emergency departments: Impact on patient delays and system capacity. Eur. J. Oper. Res. 271(3):953–967.Crossref, Google Scholar
• Chan CW, Dong J, Green LV (2016) Queues with time-varying arrivals and inspections with applications to hospital discharge policies. Oper. Res. 65(2):469–495.Link, Google Scholar
• Chen W, Linthicum B, Argon NT, Bohrmann T, Lopiano K, Mehrotra A, Travers D, Ziya S (2019) The effects of emergency department crowding on triage and hospital admission decisions. Amer. J. Emergency Medicine 38(4):774–779.Crossref, Google Scholar
• Dai T, Tayur S (2020) OM forum—Healthcare operations management: A snapshot of emerging research. Manufacturing Service Oper. Management 22(5):869–887.Link, Google Scholar
• Dawson H, Zinck G (2009) ED spending in Canada: A focus on the cost of patients waiting for access to an in-patient bed in Ontario. Healthcare Quart. 12(1):25–28.Crossref, Google Scholar
• Deo S, Gurvich I (2011) Centralized vs. decentralized ambulance diversion: A network perspective. Management Sci. 57(7):1300–1319.Link, Google Scholar
• de Véricourt F, Jennings OB (2011) Nurse staffing in medical units: A queueing perspective. Oper. Res. 59(6):1320–1331.Link, Google Scholar
• Ding Y, Park E, Nagarajan M, Grafstein E (2019) Patient prioritization in emergency department triage systems: An empirical study of the Canadian triage and acuity scale (CTAS). Manufacturing Service Oper. Management 21(4):723–741.Link, Google Scholar
• Dobson G, Tezcan T, Tilson V (2013) Optimal workflow decisions for investigators in systems with interruptions. Management Sci. 59(5):1125–1141.Link, Google Scholar
• Domencich TA, McFadden D (1975) Urban Travel Demand: A Behavioral Analysis (North-Holland Publishing Company, Oxford, UK).Google Scholar
• Dong J, Yom-Tov E, Yom-Tov GB (2019) The impact of delay announcements on hospital network coordination and waiting times. Management Sci. 65(5):1969–1994.Abstract, Google Scholar
• Duan Y, Jin Y, Ding Y, Nagarajan M, Hunte G (2020) The cost of task switching: Evidence from the emergency department. Preprint, submitted December 29, https://dx.doi.org/10.2139/ssrn.3756677.Google Scholar
• Ferrand YB, Magazine MJ, Rao US, Glass TF (2018) Managing responsiveness in the emergency department: Comparing dynamic priority queue with fast track. J. Oper. Management 58–59(1):15–26.Crossref, Google Scholar
• Freeman M, Savva N, Scholtes S (2016) Gatekeepers at work: An empirical analysis of a maternity unit. Management Sci. 63(10):3147–3167.Link, Google Scholar
• Gorski JK, Batt RJ, Otles E, Shah MN, Hamedani AG, Patterson BW (2017) The impact of emergency department census on the decision to admit. Acad. Emergency Medicine 24(1):13–21.Crossref, Google Scholar
• Holdgate A, Morris J, Fry M, Zecevic M (2007) Accuracy of triage nurses in predicting patient disposition. Emergency Medicine Australasia 19(4):341–345.Crossref, Google Scholar
• Huang J, Carmeli B, Mandelbaum A (2015) Control of patient flow in emergency departments, or multiclass queues with deadlines and feedback. Oper. Res. 63(4):892–908.Link, Google Scholar
• Ibanez MR, Clark JR, Huckman RS, Staats BR (2018) Discretionary task ordering: Queue management in radiological services. Management Sci. 64(9):4389–4407.Link, Google Scholar
• Ibrahim R, Whitt W (2011) Wait-time predictors for customer service systems with time-varying demand and capacity. Oper. Res. 59(5):1106–1118.Link, Google Scholar
• Ingolfsson A, Akhmetshina E, Budge S, Li Y, Wu X (2007) A survey and experimental comparison of service-level-approximation methods for nonstationary M(t)/M/s(t) queueing systems with exhaustive discipline. INFORMS J. Comput. 19(2):201–214.Link, Google Scholar
• KC D (2013) Does multitasking improve performance? Evidence from the emergency department. Manufacturing Service Oper. Management 16(2):168–183.Link, Google Scholar
• KC D, Terwiesch C (2009) Impact of workload on service time and patient safety: An econometric analysis of hospital operations. Management Sci. 55(9):1486–1498.Link, Google Scholar
• KC D, Terwiesch C (2012) An econometric analysis of patient flows in the cardiac intensive care unit. Manufacturing Service Oper. Management 14(1):50–65.Link, Google Scholar
• KC, D, Staats BR, Kouchaki M, Gino F (2020) Task selection and workload: A focus on completing easy tasks hurts performance. Management Sci. 66(10):4397–4416.Link, Google Scholar
• Kim S-H, Whitt W (2014) Are call center and hospital arrivals well modeled by nonhomogeneous Poisson processes? Manufacturing Service Oper. Management 16(3):464–480.Link, Google Scholar
• Kim S-H, Tong J, Peden C (2020) Admission control biases in hospital unit capacity management: How occupancy information hurdles and decision noise impact utilization. Management Sci. 66(11):5151–5170.Link, Google Scholar
• Kim S-H, Chan CW, Olivares M, Escobar G (2014) ICU admission control: An empirical study of capacity allocation and its implication for patient outcomes. Management Sci. 61(1):19–38.Link, Google Scholar
• Kuntz L, Sülz S (2013) Treatment speed and high load in the emergency department—Does staff quality matter? Health Care Management Sci. 16(4):366–376.Crossref, Google Scholar
• Law AM, Kelton WD (2000) Simulation Modeling and Analysis, 3rd ed. (McGraw-Hill, New York).Google Scholar
• Li N, Stanford DA, Taylor P, Ziedins I (2017) Nonlinear accumulating priority queues with equivalent linear proxies. Oper. Res. 65(6):1712–1721.Link, Google Scholar
• Lippman SA (1975) Applying a new device in the optimization of exponential queuing systems. Oper. Res. 23(4):687–710.Link, Google Scholar
• Luo D, Bayati M, Plambeck EL, Aratow M (2017) Low-acuity patients delay high-acuity patients in the emergency department. Preprint, submitted December 31, https://dx.doi.org/10.2139/ssrn.3095039.Google Scholar
• McLeod B, Zaver F, Avery C, Martin DP, Wang D, Jessen K, Lang ES (2010) Matching capacity to demand: A regional dashboard reduces ambulance avoidance and improves accessibility of receiving hospitals. Acad. Emergency Medicine 17(12):1383–1389.Crossref, Google Scholar
• Murray M, Bullard M, Grafstein E (2004) Revisions to the Canadian emergency department triage and acuity scale implementation guidelines. CJEM 6(6):421–427.Crossref, Google Scholar
• Olshaker JS, Rathlev NK (2006) Emergency department overcrowding and ambulance diversion: The impact and potential solutions of extended boarding of admitted patients in the emergency department. J. Emergency Medicine 30(3):351–356.Crossref, Google Scholar
• Pines JM, Hilton JA, Weber EJ, Alkemade AJ, Al Shabanah H, Anderson PD, Bernhard M, et al. (2011) International perspectives on emergency department crowding. Acad. Emergency Medicine 18(12):1358–1370.Crossref, Google Scholar
• Powell A, Savin S, Savva N (2012) Physician workload and hospital reimbursement: Overworked physicians generate less revenue per patient. Manufacturing Service Oper. Management 14(4):512–528.Link, Google Scholar
• Richardson DB, Bryant M (2004) Confirmation of association between overcrowding and adverse events in patients who do not wait to be seen. Acad. Emergency Medicine 11(5):462.Google Scholar
• Saghafian S, Austin G, Traub SJ (2015) Operations research/management contributions to emergency department patient flow optimization: Review and research prospects. IIE Trans. Healthcare Systems Engrg. 5(2):101–123.Crossref, Google Scholar
• Saghafian S, Hopp WJ, Van Oyen MP, Desmond JS, Kronick SL(2012) Patient streaming as a mechanism for improving responsiveness in emergency departments. Oper. Res. 60(5):1080–1097.Link, Google Scholar
• Saghafian S, Hopp WJ, Van Oyen MP, Desmond JS, Kronick SL(2014) Complexity-augmented triage: A tool for improving patient safety and operational efficiency. Manufacturing Service Oper. Management 16(3):329–345.Link, Google Scholar
• Shi P, Chou MC, Dai J, Ding D, Sim J (2015) Models and insights for hospital inpatient operations: Time-dependent ED boarding time. Management Sci. 62(1):1–28.Google Scholar
• Song H, Tucker AL, Murrell KL (2015) The diseconomies of queue pooling: An empirical investigation of emergency department length of stay. Management Sci. 61(12):3032–3053.Link, Google Scholar
• Sun Z, Argon NT, Ziya S (2018) Patient triage and prioritization under austere conditions. Management Sci. 64(10):4471–4489.Link, Google Scholar
• Sun Y, Teow KL, Heng BH, Ooi CK, Tay SY (2012) Real-time prediction of waiting time in the emergency department, using quantile regression. Ann. Emergency Medicine 60(3):299–308.Crossref, Google Scholar
• Sun BC, Hsia RY, Weiss RE, Zingmond D, Liang L, Han W, McCreath H, Asch SM (2013) Effect of emergency department crowding on outcomes of admitted patients. Ann. Emergency Medicine 61(6):605–611.Crossref, Google Scholar
• Tan TF, Staats BR (2020) Behavioral drivers of routing decisions: Evidence from restaurant table assignment. Production Oper. Management 29(4):1050–1070.Crossref, Google Scholar
• Train KE (2009) Discrete Choice Methods with Simulation (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• U.S. Government Accountability Office (2009) Hospital emergency departments: Crowding continues to occur, and some patients wait longer than recommended time frames. GAO report GAO-09-347, Collingdale, PA.Google Scholar
• Vaghasiya MR, Murphy M, O’Flynn D, Shetty A (2014) The emergency department prediction of disposition (EPOD) study. Australasian Emergency Nursing J. 17(4):161–166.Crossref, Google Scholar
• van Leeuwaarden JS, Mathijsen BW, Sloothaak F, Yom-Tov GB(2016) The restricted Erlang-R queue: Finite-size effects in service systems with returning customers. Preprint, submitted December 21, https://arxiv.org/abs/1612.07088.Google Scholar
• Woodworth L, Holmes JF (2020) Just a minute: The effect of emergency department wait time on the cost of care. Econom. Inquiry 58(2):698–716.Crossref, Google Scholar
• Yom-Tov GB, Mandelbaum A (2014) Erlang-R: A time-varying queue with reentrant customers, in support of healthcare staffing. Manufacturing Service Oper. Management 16(2):283–299.Link, Google Scholar