Models and insights for hospital inpatient operations: Time-dependent ED boarding time

Management Science

Volumn 62, Issue 1, 2016, Pages 1-28

  Shi, Pengyi ^a   Chou, Mabel C ^b   Dai, J G ^c   Ding, Ding ^d   Sim, Joe ^e,f  

^a PURDUE UNIVERSITY   (United States)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c School of Operations Research and Industrial Engineering   (United States)

^d UNIVERSITY OF INTERNATIONAL BUSINESS AND ECONOMICS   (China)

^e NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^f NATIONAL UNIVERSITY HOSPITAL   (Singapore)

Author keywords

Early discharge; ED boarding; Inpatient flow management; Stochastic network model; Time dependent waiting time

Indexed keywords

HOSPITALS; RANDOM PROCESSES; STOCHASTIC SYSTEMS;

EMERGENCY DEPARTMENTS; FLOW MANAGEMENT; HOSPITAL MANAGERS; OPERATIONAL POLICY; SIMULATION STUDIES; STOCHASTIC NETWORK MODELS; STOCHASTIC PROCESSING NETWORKS; WAITING-TIME;

STOCHASTIC MODELS;

EID: 84961289644     PISSN: 00251909     EISSN: 15265501     Source Type: Journal    
DOI: 10.1287/mnsc.2014.2112     Document Type: Article

References (59)

1. 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.
2. Armony M, Israelit S, Mandelbaum A, Marmor Y, Tseytlin Y, Yom-Tov G (2015) On patient flow in hospitals: A data-based queueing-science perspective. Stochastic Systems. Forthcoming.
3. Bair AE, Song WT, Chen Y-C, Morris BA (2010) The impact of inpatient boarding on ED efficiency: A discrete-event simulation study. J. Medical Systems 34(5): 919-929.
4. Bertsekas D, Gallager R (1992) Data Networks (Prentice-Hall, Englewood Cliffs, NJ).
5. Birjandi A, Bragg LM (2008) Discharge Planning Handbook for Healthcare: Top 10 Secrets to Unlocking a New Revenue Pipeline (Productivity Press, New York).
6. Borghans I, Heijink R, Kool T, Lagoe RJ, Westert GP (2008) Benchmarking and reducing length of stay in Dutch hospitals. BMC Health Services Res. 8(1), doi: 10.1186/1472-6963-8-220.
7. Brown L, Gans N, Mandelbaum A, Sakov A, Shen H, Zeltyn S, Zhao L (2005) Statistical analysis of a telephone call center. J. Amer. Statist. Assoc. 100(469): 36-50.
8. Centers for Disease Control and Prevention (2011) Health, United States, 2010: With special feature on death and dying. Report, Centers for Disease Control and Prevention, Atlanta. http: // www.cdc.gov/nchs/data/hus/hus10.pdf.
9. Chan C, Yom-Tov G, Escobar GJ (2014) When to use speedup: An examination of service systems with returns. Oper. Res. 62(2): 462-482.
10. Cochran J, Bharti A (2006) Stochastic bed balancing of an obstetrics hospital. Health Care Management Sci. 9(1): 31-45.
11. Dai JG, Lin W (2005) Maximum pressure policies in stochastic processing networks. Oper. Res. 53(2): 197-218.
12. Dai JG, Shi P (2014) A two-time-scale approach to time-varying queues for hospital inpatient flow management. Working paper, Cornell University, Ithaca, NY. http: //papers.ssrn.com/ sol3/papers.cfm?abstract-id=2489533.
13. de Bruin AM, van Rossum AC, Visser MC, Koole GM (2007) Modeling the emergency cardiac in-patient flow: An application of queuing theory. Health Care Management Sci. 10: 125-137.
14. Department of Health, United Kingdom (2004) Achieving timely simple discharge from hospital: A toolkit for the multi-disciplinary team. Report, Department of Health, London. http: // webarchive.nationalarchives.gov.uk/20130107105354/http: // www.dh.gov.uk/prod-consum-dh/groups/dh-digitalassets/@dh/ @en/documents/digitalasset/dh-4088367.pdf.
15. Feldman Z, Mandelbaum A, MasseyWA, WhittW(2008) Staffing of time-varying queues to achieve time-stable performance. Management Sci. 54(2): 324-338.
16. Gans N, Koole G, Mandelbaum A (2003) Telephone call centers: Tutorial, review, and research prospects. Manufacturing Service Oper. Management 5(2): 79-141.
17. Green L (2002) How many hospital beds? Inquiry 39(4): 400-412.
18. Green L (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.
19. Griffin J, Xia S, Peng S, Keskinocak P (2011) Improving patient flow in an obstetric unit. Health Care Management Sci. 15(1): 1-14.
20. Hall MJ, DeFrances CJ, Williams SN, Golosinskiy A, Schwartzman A (2010) National hospital discharge survey: 2007 summary. Natl. Health Stat. Report 29: 1-20.
21. Hall RW (2012) Bed assignment and bed management. Hall R, ed. Handbook of Healthcare System Scheduling, International Series in Operations Research and Management Science, Vol. 168 (Springer, New York), 177-200.
22. Hall RW, Belson D, Murali P, Dessouky M (2006) Modeling patient flows through the healthcare system. Hall RW, ed. Patient Flow: Reducing Delay in Healthcare Delivery (Springer, New York), 1-44.
23. Harrison JM (2003) Brownian models of open processing networks: Canonical representation of workload. Ann. Appl. Probab. 13(1): 390-393.
24. Helm J, Van Oyen M (2014) Design and optimization methods for elective hospital admissions. Oper. Res. 62(6): 1265-1282.
25. Helm JE, AhmadBeygi S, Van Oyen MP (2011) Design and analysis of hospital admission control for operational effectiveness. Production Oper. Management 20(3): 359-374.
26. Hoot NR, Aronsky D (2008) Systematic review of emergency department crowding: Causes, effects, and solutions. Ann. Emergency Medicine 52(2): 126-136.
27. Howell E, Bessman E, Kravet S, Kolodner K, Marshall R, Wright S (2008) Active bed management by hospitalists and emergency department throughput. Ann. Internal Medicine 149(11): 804-810.
28. Jacobson SH, Hall SN, Swisher JR (2006) Discrete-event simulation of health care systems. Hall RW, ed. Patient Flow: Reducing Delay in Healthcare Delivery, International Series in Operations Research and Management Science, Vol. 91 (Springer, New York), 211-252.
29. Khanna S, Boyle J, Good N, Lind J (2011) Impact of admission and discharge peak times on hospital overcrowding. Hansen DP, Maeder AJ, Schaper LK, eds. Health Informatics: The Transformative Power of Innovation, Studies in Health Technology and Informatics, Vol. 168 (IOS, Amsterdam), 82-88.
30. Kim S-H, Chan CW, Olivares M, Escobar G (2015) ICU admission control: An empirical study of capacity allocation and its implication on patient outcomes. Management Sci. 61(1): 19-38.
31. Koizumi N, Kuno E, Smith TE (2005) Modeling patient flows using a queuing network with blocking. Health Care Management Sci. 8(1): 49-60.
32. Kumar PR (1993) Re-entrant lines. Queueing Systems 13(1-3): 87-110.
33. Law AM, Kelton DW (2000) Simulation Modelling and Analysis (McGraw-Hill Education, Columbus, OH).
34. Lewis PA, Shedler GS (1978) Simulation methods for Poisson processes in nonstationary systems. Proc. 10th Conf. Winter Simulation, WSC '78, Vol. 1 (IEEE Press, Piscataway, NJ), 155-163.
35. Litvak E, Long MC, Cooper AB, McManus ML (2001) Emergency department diversion: Causes and solutions. Acad. Emergency Medicine 8(11): 1108-1110.
36. Liu Y, Whitt W (2012) Stabilizing customer abandonment in manyserver queues with time-varying arrivals. Oper. Res. 60(6): 1551-1564.
37. Liu SW, Thomas SH, Gordon JA, Hamedani AG, Weissman JS (2009) A pilot study examining undesirable events among emergency department-boarded patients awaiting inpatient beds. Ann. Emergency Medicine 54(3): 381-385.
38. Mandelbaum A, Momcilovic P, Tseytlin Y (2012) On fair routing from emergency departments to hospital wards: QED queues with heterogeneous servers. Management Sci. 58(7): 1273-1291.
39. National University Hospital (2011) BMU Training Guide: Inpatient Operations, National University Hospital, Singapore.
40. Pines JM, Batt RJ, Hilton JA, Terwiesch C (2011a) The financial consequences of lost demand and reducing boarding in hospital emergency departments. Ann. Emergency Medicine 58(4): 331-340.
41. Pines JM, Iyer S, Disbot M, Hollander JE, Shofer FS, Datner EM (2008) The effect of emergency department crowding on patient satisfaction for admitted patients. Acad. Emergency Medicine 15(9): 825-831.
42. Pines JM, Hilton JA, Weber EJ, Alkemade AJ, Al Shabanah H, Anderson PD, Bernhard M, et al. (2011b) International perspectives on emergency department crowding. Acad. Emergency Medicine 18(12): 1358-1370.
43. Powell ES, Khare RK, Venkatesh AK, Van Roo BD, Adams JG, Reinhardt G (2011) The relationship between inpatient discharge timing and emergency department boarding. J. Emergency Medicine 42(2): 186-196.
44. Ramakrishnan M, Sier D, Taylor P (2005) A two-time-scale model for hospital patient flow. IMA J. Management Math. 16(3): 197-215.
45. Schneider S, Zwemer F, Doniger A, Dick R, Czapranski T, Davis E (2001) Rochester, New York: A decade of emergency department overcrowding. Acad. Emergency Medicine 8(11): 1044-1050.
46. Shi P (2013) Stochastic modeling and decision making in two healthcare applications: Inpatient flow management and influenza pandemics. Ph.D. dissertation, Georgia Institute of Technology, Atlanta.
47. Shi P, Dai JG, Ding D, Ang J, Chou MC, Jin X, Sim J (2014) Patient flow from emergency department to inpatient wards: Empirical observations from a Singaporean hospital. Working paper, Purdue University, West Lafayette, IN. http: //papers.ssrn.com/ sol3/papers.cfm?abstract-id=2517050.
48. Sinagpore Ministry of Health (2012) Waiting time for admission to ward. Accessed October 30, 2014, https: //www.moh.gov.sg/ content/moh-web/home/statistics/healthcare-institutionstatistics/ Waiting-Time-for-Admission-to-Ward.html.
49. Singer AJ, Thode J, Henry C, Viccellio P, Pines JM (2011) The association between length of emergency department boarding and mortality. Acad. Emergency Medicine 18(12): 1324-1329.
50. Teow K, El-Darzi E, Foo C, Jin X, Sim J (2012) Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore. J. Medical Systems 36(3): 1873-1882.
51. Thompson S, Nunez M, Garfinkel R, Dean M (2009) Efficient shortterm allocation and reallocation of patients to floors of a hospital during demand surges. Oper. Res. 57(2): 261-273.
52. United States General Accounting Office (2003) Hospital emergency departments: Crowded conditions vary among hospitals and communities Report, United States General Accounting Office, Washington, DC.
53. Vericourt Fd, Jennings OB (2011) Nurse staffing in medical units: A queueing perspective. Oper. Res. 59(6): 1320-1331.
54. Wong HJ, Morra D, Caesar M, Carter MW, Abrams H (2010) Understanding hospital and emergency department congestion: An examination of inpatient admission trends and bed resources. Canadian J. Emergency Medicine 34(1): 18-26.
55. Yancer DA, Foshee D, Cole H, Beauchamp R, de la Pena W, Keefe T, Smith W, Zimmerman K, Lavine M, Toops B (2006) Managing capacity to reduce emergency department overcrowding and ambulance diversions. Joint Commission J. Quality Patient Safety 32(5): 239-245.
56. Yankovic N, Green LV (2011) Identifying good nursing levels: A queuing approach. Oper. Res. 59(4): 942-955.
57. Yao DD (1994) Stochastic Modeling and Analysis of Manufacturing Systems, Springer Series in Operations Research (Springer, New York).
58. Zacharias C, Armony M (2015) Joint panel sizing and appointment scheduling in outpatient care. Working paper, University of Miami, Coral Gables, FL.
59. Zeltyn S, Marmor YN, Mandelbaum A, Carmeli B, Greenshpan O, MesikaY,Wasserkrug S, et al., eds. (2011) Simulation-based models ofemergencydepartments: Operational, tactical,andstrategic staffing. ACM Trans. Model. Comput. Simul. 21(4): Article 24.