Using Hospital Admission Predictions at Triage for Improving Patient Length of Stay in Emergency Departments
References
- (2003) Dynamic server allocation for queueing networks with flexible servers. Oper. Res. 51(6):952–968.Link, Google Scholar
- (2016) Accurate emergency department wait time prediction. Manufacturing Service Oper. Management 18(1):141–156.Link, Google Scholar
- (2015) On patient flow in hospitals: A data-based queueing-science perspective. Stochastic Systems 5(1):146–194.Link, Google Scholar
- (2016) Early task initiation and other load-adaptive mechanisms in the emergency department. Management Sci. 63(11):3531–3551.Link, Google Scholar
- (2012) Predicting emergency department admissions. Emergency Medicine J. 29(5):358–365.Crossref, Google Scholar
- Centers for Disease Control and Prevention (2017) CDC seasonal influenza-associated hospitalizations in the United States. Accessed November 16, 2022, https://www.cdc.gov/flu/pandemic-resources/tools/flusurge.htm.Google Scholar
- (2017a) Queues with time-varying arrivals and inspections with applications to hospital discharge policies. Oper. Res. 65(2):469–495.Link, Google Scholar
- (2017b) The impact of delays on service times in the intensive care unit. Management Sci. 63(7):2049–2072.Link, Google Scholar
- (2020) The effects of emergency department crowding on triage and hospital admission decisions. Amer. J. Emergency Medicine 38(4):774–779.Crossref, Google Scholar
- (2015) The implementation and evaluation of the patient admission prediction tool: Assessing its impact on decision-making strategies and patient flow outcomes in 2 Australian hospitals. Quality Management Health Care 24(4):169–176.Crossref, Google Scholar
- (2017) A two-time-scale approach to time-varying queues in hospital inpatient flow management. Oper. Res. 65(2):514–536.Link, Google Scholar
- (2021) Recent modeling and analytical advances in hospital inpatient flow management. Production Oper. Management 30(6):1838–1862.Crossref, Google Scholar
- (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
- (2017) Benefits of surgical smoothing and spare capacity: An econometric analysis of patient flow. Production Oper. Management 26(9):1663–1684.Crossref, Google Scholar
- (2019) Off-service placement in inpatient ward network: Resource pooling versus service slowdown. Preprint, submitted July 18, http://dx.doi.org/10.2139/ssrn.3306853.Google Scholar
- (2015) Control of patient flow in emergency departments, or multiclass queues with deadlines and feedback. Oper. Res. 63(4):892–908.Link, Google Scholar
- (2019) When to use provider triage at emergency departments. Management Sci. 65(3):1003–1019.Link, Google Scholar
- (2015) Stress on the ward: Evidence of safety tipping points in hospitals. Management Sci. 61(4):754–771.Link, Google Scholar
- (2007) Simulation Modeling and Analysis (McGraw Hill, New York).Google Scholar
- (2018) A uniformization approach for the dynamic control of queueing systems with abandonments. Oper. Res. 66(1):200–209.Link, Google Scholar
- (2017) The boarding patient: Effects of ICU and hospital occupancy surges on patient flow. Production Oper. Management 27(12):2122–2143.Crossref, Google Scholar
- (2017) Starting with a clear endpoint: Development of a tool to predict admissions at triage. Special Issue 2017 Annual Meeting Supplement, Academic Emergency Medicine 24(S1):S13–S14.Google Scholar
- (2012) Predicting emergency department inpatient admissions to improve same-day patient flow. Academic Emergency Medicine 19(9):E1045–E1054.Crossref, Google Scholar
- (2013) Generalizability of a simple approach for predicting hospital admission from an emergency department. Academic Emergency Medicine 20(11):1156–1163.Crossref, Google Scholar
- (2015) A cost sensitive inpatient bed reservation approach to reduce emergency department boarding times. Health Care Management Sci. 18(1):67–85.Crossref, Google Scholar
- (2012) Patient streaming as a mechanism for improving responsiveness in emergency departments. Oper. Res. 60(5):1080–1097.Link, Google Scholar
- (2014) Complexity-augmented triage: A tool for improving patient safety and operational efficiency. Manufacturing Service Oper. Management 16(3):329–345.Link, Google Scholar
- (2021) Timing it right: Balancing inpatient congestion vs. readmission risk at discharge. Oper. Res. 69(6):1842–1865.Link, Google Scholar
- (2016) Models and insights for hospital inpatient operations: Time-dependent ed boarding time. Management Sci. 62(1):1–28.Link, Google Scholar
- (2022) To predict or not to predict: The case of inpatient admissions from the emergency department. Production Oper. Management 31(2):799–818.Crossref, Google Scholar
- (2015) The diseconomies of queue pooling: An empirical investigation of emergency department length of stay. Management Sci. 61(12):3032–3053.Link, Google Scholar
- (2016) Using future information to reduce waiting times in the emergency department via diversion. Manufacturing Service Oper. Management 18(3):314–331.Link, Google Scholar
- (2016) Dynamic control of a tandem system with abandonments. Queueing Systems 84(3):279–293.Crossref, Google Scholar

