Capacity Management in Networks: A Structural Estimation Approach for Hospital Inpatient Wards

Published Online:https://doi.org/10.1287/msom.2023.0700

References

  • Arıkan M, Ata B, Friedewald JJ, Parker RP (2018) Enhancing kidney supply through geographic sharing in the United States. Production Oper. Management 27(12):2103–2121.CrossrefGoogle Scholar
  • Bagust A, Place M, Posnett JW (1999) Dynamics of bed use in accommodating emergency admissions: Stochastic simulation model. British Medical J. 319(7203):155–158.CrossrefGoogle Scholar
  • Batt RJ, Terwiesch C (2017) Early task initiation and other load-adaptive mechanisms in the emergency department. Management Sci. 63(11):3531–3551.LinkGoogle Scholar
  • Bertsimas D, Pauphilet J (2024) Hospital-wide inpatient flow optimization. Management Sci. 70(7):4167–4952.Google Scholar
  • Best TJ, Sandıkçı B, Eisenstein DD, Meltzer DO (2015) Managing hospital inpatient bed capacity through partitioning care into focused wings. Manufacturing Service Oper. Management 17(2):157–176.LinkGoogle Scholar
  • Buell RW, Norton MI (2011) The labor illusion: How operational transparency increases perceived value. Management Sci. 57(9):1564–1579.LinkGoogle Scholar
  • Dai JG, Shi P (2019) Inpatient bed overflow: An approximate dynamic programming approach. Manufacturing Service Oper. Management 21(4):713–948.LinkGoogle Scholar
  • DeValve L, Wei Y, Wu D, Yuan R (2023) Understanding the value of fulfillment flexibility in an online retailing environment. Manufacturing Service Oper. Management 25(2):391–408.LinkGoogle Scholar
  • Ding Y, Park E, Nagarajan M, Grafstein E (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.LinkGoogle Scholar
  • Dong J, Shi P, Zheng F, Jin X (2019) Off-service placement in inpatient ward network: Resource pooling versus service slowdown. Columbia Business School Working paper, Columbia Business School, New York.Google Scholar
  • Fatovich DM, Hughes G, McCarthy SM (2009) Access block: It’s all about available beds. Medical J. Australia 190(7):362–363.CrossrefGoogle Scholar
  • Freeman M, Savva N, Scholtes S (2017) Gatekeepers at work: An empirical analysis of a maternity unit. Management Sci. 63(10):3147–3167.LinkGoogle Scholar
  • Green LV (2002) How many hospital beds? Inquiry 39(4):400–412.CrossrefGoogle Scholar
  • Green LV, Savin S, Savva N (2013) “Nursevendor problem”: Personnel staffing in the presence of endogenous absenteeism. Management Sci. 59(10):2237–2256.LinkGoogle Scholar
  • Guajardo JA, Cohen MA, Kim S-H, Netessine S (2012) Impact of performance-based contracting on product reliability: An empirical analysis. Management Sci. 58(5):961–979.LinkGoogle Scholar
  • Gupta D, Potthoff SJ (2016) Matching supply and demand for hospital services. Foundations Trends Tech. Inform. Oper. Management 8(3–4):131–274.CrossrefGoogle Scholar
  • Helm JE, Van Oyen MP (2014) Design and optimization methods for elective hospital admissions. Oper. Res. 62(6):1265–1282.LinkGoogle Scholar
  • Janke AT, Melnick ER, Venkatesh AK (2022) Hospital occupancy and emergency department boarding during the Covid-19 pandemic. JAMA Network Open 5(9):e2233964.CrossrefGoogle Scholar
  • KC DS, Terwiesch C (2012) An econometric analysis of patient flows in the cardiac intensive care unit. Manufacturing Service Oper. Management 14(1):50–65.LinkGoogle Scholar
  • Kim S-H, Tong J, Peden C (2020) Admission control biases in hospital unit capacity management: How occupancy information hurdles and decision noise impact utilization. Management Sci. 66(11):4921–5484.Google Scholar
  • Kim S-H, Zheng F, Brown J (2023) Identifying the bottleneck unit: Impact of congestion spillover in hospital inpatient unit network. Management Sci. 70(7):4167–4952.Google Scholar
  • Kim S-H, Chan CW, Olivares M, Escobar GJ (2015) ICU admission control: An empirical study of capacity allocation and its implication on patient outcomes. Management Sci. 61(1):19–38.LinkGoogle Scholar
  • Mandelbaum A, Zeltyn S (2013) Data-stories about (im) patient customers in tele-queues. Queueing Systems 75(2–4):115–146.CrossrefGoogle Scholar
  • Pallin DJ, Espinola JA, Camargo CA Jr (2014) US population aging and demand for inpatient services. J. Hospital Medicine 9(3):193–196.CrossrefGoogle Scholar
  • Petrin A, Train K (2010) A control function approach to endogeneity in consumer choice models. J. Marketing Res. 47(1):3–13.CrossrefGoogle Scholar
  • Pinker E, Tezcan T (2016) Determining the optimal configuration of hospital inpatient rooms in the presence of isolation patients. Oper. Res. 61(6):1259–1276.LinkGoogle Scholar
  • Samiedauluie S, Kucukyazici B, Verter V, Zhang D (2017) Managing patient admissions in a neurology ward. Oper. Res. 65(3):635–656.LinkGoogle Scholar
  • Shen Y, Chan C, Zheng F, Escobar GJ (2020) Structural estimation of intertemporal externalities on ICU admission decisions. Preprint, submitted April 4, http://dx.doi.org/10.2139/ssrn.3564776.Google Scholar
  • Shi C, Wei Y, Zhong Y (2019) Process flexibility for multiperiod production systems. Oper. Res. 67(5):1300–1320.LinkGoogle Scholar
  • Shi P, Chou M, Dai JG, Ding D, Sim J (2016) Models and insights for hospital inpatient operations: Time-dependent ED boarding time. Management Sci. 62(1):1–28.LinkGoogle Scholar
  • Soltani M, Batt R, Bavafa H, Patterson B (2022) Does what happens in the ED stay in the ED? The effects of emergency department physician workload on post-ED care use. Manufacturing Service Oper. Management 24(6):2797–3306.Google Scholar
  • Song H, Tucker AL, Murrell KL (2015) The diseconomies of queue pooling: An empirical investigation of emergency department length of stay. Management Sci. 61(12):3032–3053.LinkGoogle Scholar
  • Song H, Tucker AL, Graue R, Moravick S, Yang JJ (2020) Capacity pooling in hospitals: The hidden consequences of off-service placement. Management Sci. 66(9):3799–4368.Google Scholar
  • Sun Z, Argon NT, Ziya S (2018) Patient triage and prioritization under austere conditions. Management Sci. 64(10):4471–4489.LinkGoogle Scholar
  • Wallace RB, Whitt W (2005) A staffing algorithm for call centers with skill-based routing. Manufacturing Service Oper. Management 7(4):276–294.LinkGoogle Scholar
  • Yu Q, Allon G, Bassamboo A (2017) How do delay announcements shape customer behavior? An empirical study. Management Sci. 63(1):1–20.LinkGoogle Scholar
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