An Econometric Analysis of Patient Flows in the Cardiac Intensive Care Unit

Published Online:https://doi.org/10.1287/msom.1110.0341

References

  • Baker D. R., Pronovost P. J., Morlock L. L., Geocadin R. G., Holzmueller C. G. Patient flow variability and unplanned readmissions to an ICU. Crit Care Med. (2009) 37(11):2882–2887CrossrefGoogle Scholar
  • Bertsekas D. P.Dynamic Programming and Optimal Control (2000) (Athena Scientific, Belmont, MA) Google Scholar
  • Bohmer R. M. J., Newell J., Torchiana D. F. The effect of decreasing length of stay on discharge destination and readmission after coronary bypass operation. Surgery (2002) 132(1):10–16CrossrefGoogle Scholar
  • Chan P. S., Khalid A., Longmore L. S., Berg R. A., Kosiborod M., Spertus J. A. Hospital-wide code rates and mortality before and after implementation of a rapid response team. J. Amer. Med. Assoc. (2008) 300(21):2506–2513CrossrefGoogle Scholar
  • Cox D. R. Regression models and life tables. J. Royal Statist. Soc. Ser. B (1972) 34(2):187–220Google Scholar
  • Crabill T. B. Optimal control of a service facility with variable exponential service times and constant arrival rate. Management Sci. (1972) 18(9):560–566LinkGoogle Scholar
  • EuroSCORE The EuroSCORE model. (2007) . Retrieved October 25, http://www.euroscore.org/Google Scholar
  • George J. M., Harrison J. M. Dynamic control of a queue with adjustable service rate. Oper. Res. (2001) 49(5):720–731LinkGoogle Scholar
  • Gerchak Y., Gupta D., Henig M. Reservation planning for elective surgery under uncertain demand for emergency surgery. Management Sci. (1996) 42(3):321–334LinkGoogle Scholar
  • Green L. V., Brandeau M. L., Sainfort F., Pierskalla W. P. Capacity planning and management in hospitals. Operations Research and Health Care: A Handbook of Methods and Applications (2004) (Kluwer Academic, Norwell, MA) 15–42Google Scholar
  • Green L. V., Meissner J. Developing insights for nurse staffing. (2002) . Working paper, Columbia Business School, New YorkGoogle Scholar
  • Green L. V., Savin S. V., Wang B. Managing patient service in a diagnostic medical facility. Oper. Res. (2006) 54(1):11–25LinkGoogle Scholar
  • Hall R. W.Patient Flow: Reducing Delays in Healthcare Delivery (2006) (Springer, New York) International Series in Operations Research & Management ScienceCrossrefGoogle Scholar
  • Heckman J. J., Ichimura H., Todd P. Matching as an econometric evaluation estimator. Rev. Econom. Stud. (1998) 65(2):261–294CrossrefGoogle Scholar
  • Henning R. J., McClish D., Daly B., Nearman J., Franklin C., Jackson D. Clinical characteristics and resource utilization of ICU patients: Implications of organization of intensive care. Crit. Care Med. (1987) 15(3):264–269CrossrefGoogle Scholar
  • Horak J., Kc D., Terwiesch C. Cardiothoracic surgery risk stratification for intra-hospital decision making and inter-hospital quality comparisons. (2009) . Working paper, The Wharton School, PhiladelphiaGoogle Scholar
  • Huang X. A. A planning model for requirement of emergency beds. J. Math. Appl. Medicine Biol. (1995) 12(3–4):345–353CrossrefGoogle Scholar
  • Institute of Medicine Hospital-based emergency care: At the breaking point. (2007) . Institute of Medicine of the National Academies, Washington, DCGoogle Scholar
  • Kc D. S., Terwiesch C. Impact of workload on service time and patient safety: An econometric analysis of hospital operations. Management Sci. (2009) 55(9):1486–1498LinkGoogle Scholar
  • Kurki T. S. Prediction of outcome in cardiac surgery. Mount Sainai J. Medicine (2002) 69(1, 2):68–72Google Scholar
  • Kwak N., Lee C. A linear programming model for human resource allocation in a health-care organization. J. Medical Systems (1997) 21(3):129–140CrossrefGoogle Scholar
  • Liker J.The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer (2004) (McGraw-Hill, New York) Google Scholar
  • Martin C. M., Hill A. D., Burns K., Chen L. M. Characteristics and outcomes for critically ill patients with prolonged intensive care unit stays. Crit Care Med. (2005) 33(9):1922–1927CrossrefGoogle Scholar
  • McConnell K. J., Christopher F. R., Mohamud D., Stephanie L. B., Cody C. W., Robert A. L. Effect of increased ICU capacity on emergency department length of stay and ambulance diversion. Ann. Emergency Medicine (2005) 45(5):471–478CrossrefGoogle Scholar
  • Nashef S. A., Roques F., Hammill B. G., Peterson E. D., Michel P., Grover F. L., Wyse R. K., Ferguson T. B. Validation of european system for cardiac operative risk evaluation (euroscore) in north american cardiac surgery. Eur. J. Cardiothoracic Surgery (2002) 22(1):101–105CrossrefGoogle Scholar
  • Obel N., Schierbeck J., Pedersen L., Storgaard M., Pedersen C., Sorensen H. T., Hansen B. Mortality after discharge from the intensive care unit during the early weekend period: A population-based cohort study in Denmark. Acta. Anaesthesiol. Scand. (2007) 51(9):1225–1230CrossrefGoogle Scholar
  • Ohno T.The Toyota Production System: Beyond Large-Scale Production (1988) (Productivity Press, Portland, OR) Google Scholar
  • Peake S. L., Moran J. L., Ghelani D. R., Lloyd A. J., Walker M. J. The effect of obesity on 12-month survival following admission to intensive care: A prospective study. Crit. Care Med. (2006) 34(12):2929–2939Google Scholar
  • Powell S. G., Schultz K. L. Throughput in serial lines with state-dependent behavior. Management Sci. (2004) 50(8):1095–1105LinkGoogle Scholar
  • Reynolds S. F., Bellomo R., Hillman K. Rapid response team implementation and hospital mortality rates. J. Amer. Med. Assoc. (2009) 301(16):1659CrossrefGoogle Scholar
  • Rosenbaum P. R., Rubin D. B. The central role of the propensity score in observational studies for causal effects. Biometrika (1983) 7(1):41–45CrossrefGoogle Scholar
  • Smith-Daniels V., Schweikhart S. B., Smith-Daniels D. E. Capacity management in health care services: Review and future research directions. Decision Sci. (1988) 19(4):889–919CrossrefGoogle Scholar
  • Schultz K. L., Juran D. C., Boudreau J. W. The effects of low inventory on the development of productivity norms. Management Sci. (1999) 45(12):1664–1678LinkGoogle Scholar
  • Schultz K. L., Juran D. C., Boudreau J. W., McClain J. O., Thomas L. J. Modeling and worker motivation in JIT production systems. Management Sci. (1998) 44(12):1595–1607LinkGoogle Scholar
  • Sherner J. H. Rapid response team implementation and hospital mortality rates. J. Amer. Med. Assoc. (2009) 301(16):1658–1659CrossrefGoogle Scholar
  • Stidham S., Weber R. R. Monotonic and insensitive optimal policies for control of queues with undiscounted costs. Oper. Res. (1989) 37(4):611–625LinkGoogle Scholar
  • Strauss M. J., LoGerfo J. P., Yeltatzie J. A., Temkin N., Hudson L. D. Rationing of intensive care unit services. J. Amer. Med. Assoc. (1986) 255(9):1143–1146CrossrefGoogle Scholar
  • Swenson M. D. Scarcity in the intensive care unit: Principles of justice for rationing ICU beds. Amer. J. Medicine (1992) 92(5):551–555CrossrefGoogle Scholar
  • Toumpoulis I. K., Anagnostopoulos C. E., Swistel D. G., DeRose J. J. Does EuroSCORE predict length of stay and specific postoperative complications after cardiac surgery? Eur. J. Cardiothoracic Surgery (2005) 27(1):128–133CrossrefGoogle Scholar
  • Tucker A. The impact of operational failures on hospital nurses and their patients. J. Oper. Management (2004) 22(2):151–169CrossrefGoogle Scholar
  • Womack J. P., Jones D. T., Roos D.The Machine That Changed the World: The Story of Lean Production (1990) (Rawson and Associates, New York) Google Scholar
  • Wooldridge J. M.Econometric Analysis of Cross Section and Panel Data (2002) (MIT Press, Cambridge, MA) Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.