ICU Admission Control: An Empirical Study of Capacity Allocation and Its Implication for Patient Outcomes
Published Online:20 Nov 2014https://doi.org/10.1287/mnsc.2014.2057
References
- (2013) The impact of hospital size and occupancy of hospital on the extent of ambulance diversion: Theory and evidence. Oper. Res. 61(3):544–562.Link, Google Scholar
- (2009) Creation of an intermediate respiratory care unit to decrease intensive care utilization. J. Nursing Administration 39(11):494–498.Crossref, Google Scholar
- (2001) On optimal call admission control in resource-sharing system. IEEE Trans. Comm. 49(9):1659–1668.Crossref, Google Scholar
- (1997) Information and organization for horizontal multimarket coordination. Management Sci. 43(12):1609–1627.Link, Google Scholar
- (2011) Examining the discharge practices of surgeons at a large medical center. Health Care Management Sci. 14(4):1–10.Crossref, Google Scholar
- (2010) Patient flow in hospitals: A data-based queueing-science perspective. Working paper, New York University, New York.Google Scholar
- (2001) Compliance with triage to intensive care recommendations. Critical Care Medicine 29(11):2132–2136.Crossref, Google Scholar
- (2008) Expanded use of imaging technology and the challenge of measuring value. Health Affairs 27(6):1467–1478.Crossref, Google Scholar
- (2014) Doctors under load: An empirical study of state-dependent service times in emergency care. Working paper, University of Wisconsin–Madison, Madison.Google Scholar
- (2012) Variability of intensive care admission decisions for the very elderly. PloS ONE 7(4):e34387.Crossref, Google Scholar
- (2001) Critical care delivery in the intensive care unit: Defining clinical roles and the best practice model. Critical Care Medicine 29(10):2007–2019.Crossref, Google Scholar
- (1995) Reducing intensive care unit length of stay: A stepdown unit for first-day heart surgery patients. J. Nursing Administration 25(12):29–30.Crossref, Google Scholar
- (1986) Econometric models based on count data. Comparisons and applications of some estimators and tests. J. Appl. Econometrics 1(1):29–53.Crossref, Google Scholar
- (1998) Regression Analysis of Count Data (Cambridge University Press, Cambridge, UK).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
- (2013) Use of health IT for higher-value critical care. New England J. Medicine 368(7):594–597.Crossref, Google Scholar
- (2012) Intensive care unit admitting patterns in the Veterans Affairs health care system. Arch. Internal Medicine 172(16):1220–1226.Crossref, Google Scholar
- (2006) Maximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment. Stata J. 6(2):246–255.Crossref, Google Scholar
- (1993) A case-control study of patients readmitted to the intensive care unit. Critical Care Medicine 21(10):1547–1553.Crossref, Google Scholar
- (2004) National questionnaire survey on what influences doctors' decisions about admission to intensive care. BMJ 329(7463):425–429.Crossref, Google Scholar
- (2011) Intra-hospital transfers to a higher level of care: Contribution to total hospital and intensive care unit (ICU) mortality and length of stay (LOS). J. Hospital Medicine 6(2):74–80.Crossref, Google Scholar
- (2008) Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases. Medical Care 46(3):232–239.Crossref, Google Scholar
- (2008) Staffing of time-varying queues to achieve time-stable performance. Management Sci. 54(2):324–338.Link, Google Scholar
- (2004) Variations in the longitudinal efficiency of academic medical centers. Health Affairs 2004:VAR-19–VAR-32.Crossref, Google Scholar
- (1990) Triage considerations in medical intensive care. Arch. Internal Medicine 150(7):1455–1459.Crossref, Google Scholar
- (1994) Monotone optimal control of permutable GSMPS. Math. Oper. Res. 19(2):449–476.Link, Google Scholar
- (2003) How many hospital beds? Inquiry 39(4):400–412.Crossref, Google Scholar
- (2013) Nursevendor problem: Personnel staffing in the presence of endogenous absenteeism. Management Sci. 59(10):2237–2256.Link, Google Scholar
- (1994) Federal and nationwide intensive care units and healthcare costs: 1986–1992. Critical Care Medicine 22(12):2001–2007.Crossref, Google Scholar
- (2007) Critical care medicine use and cost among Medicare beneficiaries 1995–2000: Major discrepancies between two United States Federal Medicare databases. Critical Care Medicine 35(3):692–699.Crossref, Google Scholar
- (2010) Reasons for refusal of admission to intensive care and impact on mortality. Intensive Care Medicine 36(10):1772–1779.Crossref, Google Scholar
- (2003) Risk Adjustment for Measuring Health Care Outcomes, Vol. 3 (Health Administration Press, Ann Arbor, MI).Google Scholar
- (2013) An empirical study of the spillover effects of workload on patient length of stay. Working paper, Boston University, Boston.Google Scholar
- Kaiser Family Foundation (2012) Hospital adjusted expenses per inpatient day: California in year 2009. Accessed November 14, 2014, http://kaiserf.am/1ukoJPW.Google Scholar
- (2011) How to solve the cost crisis in health care. Harvard Bus. Rev. 89(9):46–52.Google Scholar
- (2012) Accumulating a portfolio of experience: The effect of focal and related experience on surgeon performance. Manufacturing Service Oper. Management 14(4):618–633.Link, 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
- (2014) Stress on the ward: Evidence of safety tipping points in hospitals. Management Sci., ePub ahead of print May 19, 2014, http://dx.doi.org/10.1287/mnsc.2014.1917.Google Scholar
- (2010) Length of stay predictions: Improvements through the use of automated laboratory and comorbidity variables. Medical Care 48(8):739–744.Crossref, Google Scholar
- (2012) Determinants and outcomes associated with decisions to deny or to delay intensive care unit admission in Morocco. Intensive Care Medicine 38(5):830–837.Crossref, Google Scholar
- (2007) Mortality among patients admitted to intensive care units during weekday day shifts compared with off hours. Critical Care Medicine 35(1):3–11.Crossref, Google Scholar
- (1969) A queueing reward system with several customer classes. Management Sci. 16(3):234–245.Link, Google Scholar
- (2004) Wrestling with variation: An interview with Jack Wennberg. Health Affairs 2004:VAR-73–VAR-80.Crossref, Google Scholar
- (2004) Modifying unwarranted variations in health care: Shared decision making using patient decision aids. Health Affairs 2004:VAR-63–VAR-72.Crossref, Google Scholar
- (2013) Sales forecasting with financial indicators and experts' input. Production Oper. Management 22(5):1056–1076.Google Scholar
- (1996) The dynamic and stochastic knapsack problem with deadlines. Management Sci. 42(12):1706–1718.Link, Google Scholar
- (2015) The effectiveness of field price discretion: Empirical evidence from auto lending. Management Sci. Forthcoming.Link, Google Scholar
- (2004) Intensive care unit physician staffing: Financial modeling of the leapfrog standard. Critical Care Medicine 32(6):1247–1253.Crossref, Google Scholar
- (1995) Bayesian model selection in social research. Sociol. Methodology 25:111–164.Crossref, Google Scholar
- (1994) Joint Position Statement: Essential provisions for critical care in health system reform. Critical Care Medicine 22(12):2017–2019.Crossref, Google Scholar
- (2012) New joints more hip? Learning in the use of new components. Working paper, London Business School, London.Google Scholar
- (2008) Patient-related factors and circumstances surrounding decisions to forego life-sustaining treatment, including intensive care unit admission refusal. Critical Care Medicine 36(7):2076–2083.Crossref, Google Scholar
- (2012) Monitoring costs in the ICU: A search for a pertinent methodology. Acta Anaesthesiologica Scandinavica 56(9):1104–1113.Crossref, Google Scholar
- (2012) Refusal of intensive care unit admission due to a full unit impact on mortality. Amer. J. Respiratory Critical Care Medicine 185(10):1081–1087.Crossref, Google Scholar
- (2015) Models and insights for hospital inpatient operations: Time-dependent ED boarding time. Management Sci. Forthcoming.Link, Google Scholar
- (2005) Assessing the in-hospital survival benefits of intensive care. Internat. J. Technol. Assessment in Health Care 21(01):66–72.Crossref, Google Scholar
- (2004) The effect of intensive care on in-hospital survival. Health Services and Outcomes Res. Methodology 5(3):163–174.Crossref, Google Scholar
- (2003) Optimizing admissions to an intensive care unit. Health Care Management Sci. 6(3):131–136.Crossref, Google Scholar
- (2004) Survival of critically ill patients hospitalized in and out of intensive care units under paucity of intensive care unit beds. Critical Care Medicine 32(8):1654–1661.Crossref, Google Scholar
- (2005) Admissions to intensive care units from emergency departments: A descriptive study. Emergency Medicine J. 22(6):423–428.Crossref, Google Scholar
- (1983) Rationing intensive care physician responses to a resource shortage. New England J. Medicine 309(19):1155–1160.Crossref, Google Scholar
- (1999) Evaluation of triage decisions for intensive care admission. Critical Care Medicine 27(6):1073–1079.Crossref, Google Scholar
- (2008) Severity scoring in the ICU: A review. Acta Anaesthesiologica Scandinavica 52(4):467–478.Crossref, Google Scholar
- (1986) Rationing of intensive care unit services. J. Amer. Medical Assoc. 255(9):1143–1146.Crossref, Google Scholar
- Task Force of the American College of Critical Care Medicine, Society of Critical Care Medicine (1999) Guidelines for intensive care unit admission, discharge, and triage. Critical Care Medicine 27(3):633–638.Crossref, Google Scholar
- (2010) The Kaiser Permanente inpatient risk adjustment methodology was valid in an external patient population. J. Clinical Epidemiology 63(7):798–803.Crossref, Google Scholar
- (2008) Outcomes of patients considered for, but not admitted to, the intensive care unit. Critical Care Medicine 36(3):812–817.Crossref, Google Scholar
- (1992) Monotone control of queueing networks. Queueing Systems 12(3–4):391–408.Crossref, Google Scholar
- (1987) Optimal control of service rates in networks of queues. Adv. Appl. Probab. 19(1):202–218.Crossref, Google Scholar
- (2004) Trends and geographic variations in major surgery for degenerative diseases of the hip, knee, and spine. Health Affairs 2004:VAR-81–VAR-89.Crossref, Google Scholar
- (2002) Geography and the debate over Medicare reform. Health Affairs 2002:W96–W114.Crossref, Google Scholar
- (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
- (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
- (2002) The postanaesthesia care unit as a temporary admission location due to intensive care and ward overflow. British J. Anaesthesia 88(4):577–579.Crossref, Google Scholar

