The Impact of Delays on Service Times in the Intensive Care Unit
Published Online:31 May 2016https://doi.org/10.1287/mnsc.2016.2441
References
- (2013) The impact of hospital size and occupancy of hospital on the extent of ambulance diversion: Theory and evidence. Oper. Res. 61(3):554–562.Link, Google Scholar
- (2010) Quality-speed conundrum: Tradeoffs in customer-intensive services. Management Sci. 57(1):40–56.Link, Google Scholar
- (2011) Examining the discharge practices of surgeons at a large medical center. Health Care Management Sci. 14(4):338–347.Crossref, Google Scholar
- (2006) Dynamic control of an M/M/1 service system with adjustable arrival and service rates. Management Sci. 52(11):1778–1791.Link, Google Scholar
- (2007) On queues with service and interarrival times depending on waiting times. Queueing Systems 56(3): 121–132.Crossref, Google Scholar
- (2002) Effects of a medical emergency team on reduction of incidence of and mortality from unexpected cardiac arrests in hospital: Preliminary study. British Medical J. 324(7334):387–390.Crossref, Google Scholar
- (2005) Length of intensive care unit stay and patient outcome: The long and short of it all. Critical Care Medicine 33(9):2119–2120.Crossref, Google Scholar
- (2007) Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit. Critical Care Medicine 35(6):1477–1483.Crossref, Google Scholar
- (2012) Optimizing intensive care unit discharge decisions with patient readmissions. Oper. Res. 60(6):1323–1342.Link, Google Scholar
- (2008) Delayed time to defibrillation after in-hospital cardiac arrest. New England J. Medicine 358(1):9–17.Crossref, Google Scholar
- (2004) Time delay to treatment and mortality in primary angioplasty for acute myocardial infarction: Every minute of delay counts. Circulation 109(10):1223–1225.Crossref, Google Scholar
- (2011) Nurse staffing in medical units: A queueing perspective. Oper. Res. 59(6):1320–1331.Link, Google Scholar
- (2010) A model of ICU bumping. Oper. Res. 58(6):1564–1576.Link, Google Scholar
- (2015) Service systems with slowdowns: Potential failures and proposed solutions. Oper. Res. 63(2):305–324.Link, Google Scholar
- (1996) Probability: Theory and Examples (Duxbury Press, Belmont, CA).Google Scholar
- (2008) Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases. Medical Care 46(3):232–239.Crossref, Google Scholar
- (2001) Dynamic control of a queue with adjustable service rate. Oper. Res. 49(5):720–731.Link, Google Scholar
- (1986) Finiteness of moments of partial busy periods for M/G/C queues. J. Appl. Probab. 23(1):261–264.Crossref, Google Scholar
- (2003) How many hospital beds? Inquiry 39(4):400–412.Crossref, Google Scholar
- (2006) Queueing analysis in healthcare. Hall RW, ed. Patient Flow: Reducing Delay in Healthcare Delivery, International Series in Operations Research and Management Science, Vol. 91 (Springer, New York), 281–307.Crossref, Google Scholar
- (2006) Using queuing theory to increase the effectiveness of emergency department provider staffing. Acad. Emergency Medicine 13(1):61–68.Crossref, Google Scholar
- (2010) Critical care medicine in the United States 2000–2005: An analysis of bed numbers, occupancy rates, payer mix, and costs. Critical Care Medicine 38(1):65–71.Crossref, Google Scholar
- (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.Crossref, Google Scholar
- (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
- (2012) An econometric analysis of patient flows in the cardiac intensive care unit. Manufacturing Service Oper. Management 14(1):50–65.Link, Google Scholar
- (2015) ICU admission control: An empirical study of capacity allocation and its implication on patient outcomes. Management Sci. 61(1):19–38.Link, Google Scholar
- (2015) Stress on the ward: Evidence of safety tipping points in hospitals. Management Sci. 61(4): 754–771.Link, Google Scholar
- (2001) Emergency department diversion: Causes and solutions. Acad. Emergency Medicine 8(11):1108–1110.Google Scholar
- (1994) Does more intensive treatment of acute myocardial infarction in the elderly reduce mortality? Analysis using instrumental variables. J. Amer. Medical Assoc. 272(11):859–866.Crossref, Google Scholar
- (2004) Queuing theory accurately models the need for critical care resources. Anesthesiology 100(5):1271–1276.Crossref, Google Scholar
- (2007) The sample selection model from a method of moments perspective. Econometric Rev. 26(1):25–51.Crossref, Google Scholar
- (2005) SAPS 3–From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Medicine 31(10):1345–1355.Crossref, Google Scholar
- (2007) Proactive palliative care in the medical intensive care unit: Effects on length of stay for selected high-risk patients. Critical Care Medicine 35(6):1530–1535.Crossref, Google Scholar
- (2004) Throughput in serial lines with state-dependent behavior. Management Sci. 50(8):1095–1105.Link, Google Scholar
- (1996) Resource use implications of do not resuscitate orders for intensive care unit patients. Amer. J. Respiratory Critical Care Medicine 153(1):185–190.Crossref, Google Scholar
- (2009) Association between timing of intensive care unit admission and outcomes for emergency department patients with community-acquired pneumonia. Critical Care Medicine 37(11):2867–2874.Crossref, Google Scholar
- (2001) Early goal-directed therapy in the treatment of severe sepsis and septic shock. New England J. Medicine 345(19):1368–1377.Crossref, Google Scholar
- (2012) Revisiting the composition of the female workforce—A Heckman selection model with endogeneity. Discussion Paper dp-502, Leibniz University of Hannover, Hannover, Germany.Google Scholar
- (1999) Early burn center transfer shortens the length of hospitalization and reduces complications in children with serious burn injuries. J. Burn Care Rehabil. 20(5):347–50.Crossref, Google Scholar
- (2016) Models and insights for hospital inpatient operations: Time-dependent ED boarding time. Management Sci. 62(1):1–28.Link, Google Scholar
- State of California Office of Statewide Health Planning and Development (2010–2011) Annual financial data. Accessed November 18, 2013, http://www.oshpd.ca.gov/HID/Products/Hospitals/AnnFinanData/CmplteDataSet/Excel2007/36HospitalADR51612.xlsx.Google Scholar
- (2009) Efficient short-term allocation and reallocation of patients to floors of a hospital during demand surges. Oper. Res. 57(2):261–273.Link, Google Scholar
- Wansbeek T, Meijer E, eds. (2000) Measurement Error and Latent Variables in Econometrics, Advanced Textbooks in Economics, Vol. 37 (Elsevier Science, Amsterdam).Google Scholar
- (1990) Queues with service times and interarrival times depending linearly and randomly upon waiting times. Queueing Systems 6(1):335–352.Crossref, Google Scholar
- (2002) Econometric Analysis of Cross Section and Panel Data, 1st ed. (MIT Press, Cambridge, MA).Google Scholar
- (2011) Identifying good nursing levels: A queuing approach. Oper. Res. 59(4):942–955.Link, Google Scholar
- (2010) The impact of ambulance diversion on heart attack deaths. Inquiry 47(1):81–91.Google Scholar
- (2006) Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today’s critically ill patients. Critical Care Medicine 34(5):1297–1310.Crossref, Google Scholar

