Hospital-Wide Inpatient Flow Optimization

References

• Alameda C, Suárez C (2009) Clinical outcomes in medical outliers admitted to hospital with heart failure. Eur. J. Internal Medicine 20(8):764–767.Crossref, Google Scholar
• Armony M, Israelit S, Mandelbaum A, Marmor YN, Tseytlin Y, Yom-Tov GB (2015) On patient flow in hospitals: A data-based queueing-science perspective. Stochastic Systems 5(1):146–194.Link, Google Scholar
• Bai AD, Srivastava S, Tomlinson GA, Smith CA, Bell CM, Gill SS (2018) Mortality of hospitalised internal medicine patients bedspaced to non-internal medicine inpatient units: Retrospective cohort study. BMJ Qual. Safety 27(1):11–20.Crossref, Google Scholar
• Bavafa H, Leys CM, Örmeci L, Savin S (2019) Managing portfolio of elective surgical procedures: A multidimensional inverse newsvendor problem. Oper. Res. 67(6):1543–1563.Link, Google Scholar
• Bekker R, Koeleman PM (2011) Scheduling admissions and reducing variability in bed demand. Health Care Management Sci. 14(3):237.Crossref, Google Scholar
• Ben-Tal A, El Ghaoui L, Nemirovski A (2009) Robust Optimization, vol. 28 (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Ben-Tal A, Goryashko A, Guslitzer E, Nemirovski A (2004) Adjustable robust solutions of uncertain linear programs. Math. Programming 99(2):351–376.Crossref, Google Scholar
• Bertsimas D, Dunn J (2017) Optimal classification trees. Machine Learn. 106(7):1039–1082.Crossref, Google Scholar
• Bertsimas D, Farias VF, Trichakis N (2013) Fairness, efficiency, and flexibility in organ allocation for kidney transplantation. Oper. Res. 61(1):73–87.Link, Google Scholar
• Bertsimas D, Iancu DA, Parrilo PA (2010) Optimality of affine policies in multistage robust optimization. Math. Oper. Res. 35(2):363–394.Link, Google Scholar
• Bertsimas D, Pauphilet J, Stevens J, Tandon M (2021) Predicting inpatient flow at a major hospital using interpretable analytics. Manufacturing Service Oper. Management 24(6):2809–2824.Link, Google Scholar
• Boulton J, Akhtar N, Shuaib A, Bourke P (2016) Waiting for a stroke bed: Planning stroke unit capacity using queuing theory. Internat. J. Healthcare Management 9(1):4–10.Crossref, Google Scholar
• Carnes T, Price D, Levi R, Dunn PF, Daily BJ, Moss S (2011) An optimization framework for smoothing surgical bed census via strategic block scheduling. Accessed September 11, 2023, https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=7c421730fa4b3a00326de22aa7b0b5431a1ae189.Google Scholar
• Chan CW, Dong J, Green LV (2016a) Queues with time-varying arrivals and inspections with applications to hospital discharge policies. Oper. Res. 65(2):469–495.Link, Google Scholar
• Chan CW, Farias VF, Escobar GJ (2016b) The impact of delays on service times in the intensive care unit. Management Sci. 63(7):2049–2072.Link, Google Scholar
• Chan CW, Green LV, Lewijit S, Lu L, Escobar G (2018) Assessing the impact of service level when customer needs are uncertain: An empirical investigation of hospital step-down units. Management Sci. 65(2):751–775.Link, Google Scholar
• Chen X, Zhang Y (2009) Uncertain linear programs: Extended affinely adjustable robust counterparts. Oper. Res. 57(6):1469–1482.Link, Google Scholar
• Dai JG, Shi P (2019) Inpatient overflow: An approximate dynamic programming approach. Manufacturing Service Oper. Management 21(4):894–911.Link, Google Scholar
• Dai JG, Shi P (2021) Recent modeling and analytical advances in hospital inpatient flow management. Production Oper. Management 30(6):1838–1862.Crossref, Google Scholar
• De Bruin AM, Bekker R, Van Zanten L, Koole GM (2010) Dimensioning hospital wards using the Erlang loss model. Ann. Oper. Res. 178(1):23–43.Crossref, Google Scholar
• Dong J, Perry O (2020) Queueing models for patient-flow dynamics in inpatient wards. Oper. Res. 68(1):250–275.Link, Google Scholar
• Dorf RF, Bishop RH (2008) Modern Control Systems (Pearson Prentice Hall, Hoboken, NJ).Google Scholar
• Föllmer H, Schied A (2002) Convex measures of risk and trading constraints. Finance Stochastics 6(4):429–447.Crossref, Google Scholar
• Gorissen BL, den Hertog D (2013) Robust counterparts of inequalities containing sums of maxima of linear functions. Eur. J. Oper. Res. 227(1):30–43.Crossref, Google Scholar
• Helm JE, Van Oyen MP (2014) Design and optimization methods for elective hospital admissions. Oper. Res. 62(6):1265–1282.Link, Google Scholar
• Iancu DA, Sviridenko M (2013) Supermodularity and affine policies in dynamic robust optimization. Oper. Res. 61(4):941–956.Link, Google Scholar
• Izady N, Mohamed I (2019) A clustered overflow configuration of inpatient beds in hospitals. Manufacturing Service Oper. Management 23(1):139–154.Google Scholar
• Johnson DW, Schmidt UH, Bittner EA, Christensen B, Levi R, Pino RM (2013) Delay of transfer from the intensive care unit: A prospective observational study of incidence, causes, and financial impact. Critical Care 17(4):R128.Crossref, Google Scholar
• Kao EPC, Tung GG (1981) Bed allocation in a public healthcare delivery system. Management Sci. 27(5):507–520.Link, Google Scholar
• Kilinc D, Saghafian S, Traub S (2018) Dynamic assignment of patients to primary and secondary inpatient units: Is patience a virtue? HKS Working Paper No. RWP17-010, John F. Kennedy School of Government, Harvard University, Cambridge, MA.Google Scholar
• Kim S-H, Whitt W (2014) Are call center and hospital arrivals well modeled by nonhomogeneous Poisson processes? Manufacturing Service Oper. Management 16(3):464–480.Link, Google Scholar
• Kim S-H, Chan CW, Olivares M, Escobar G (2015) ICU admission control: An empirical study of capacity allocation and its implication for patient outcomes. Management Sci. 61(1):19–38.Link, Google Scholar
• Liu J, Griesman J, Nisenbaum R, Bell CM (2014) Quality of care of hospitalized internal medicine patients bedspaced to non-internal medicine inpatient units. PLoS One 9(9):e106763.Crossref, Google Scholar
• Long EF, Mathews KS (2018) The boarding patient: Effects of ICU and hospital occupancy surges on patient flow. Production Oper. Management 27(12):2122–2143.Crossref, Google Scholar
• Mathews KS, Durst MS, Vargas-Torres C, Olson AD, Mazumdar M, Richardson LD (2018) Effect of emergency department and ICU occupancy on admission decisions and outcomes for critically ill patients. Critical Care Medicine 46(5):720–727.Crossref, Google Scholar
• McCoy JH, Lee HL (2014) Using fairness models to improve equity in health delivery fleet management. Production Oper. Management 23(6):965–977.Crossref, Google Scholar
• McDiarmid C (1998) Concentration. Probabilistic Methods for Algorithmic Discrete Mathematics (Springer, Berlin), 195–248.Crossref, Google Scholar
• Meng F, Qi J, Zhang M, Ang J, Chu S, Sim M (2015) A robust optimization model for managing elective admission in a public hospital. Oper. Res. 63(6):1452–1467.Link, Google Scholar
• Oliveira EG, Garcia PC, Citolino Filho CM, de Souza Nogueira L (2019) The influence of delayed admission to intensive care unit on mortality and nursing workload: A cohort study. Nursing in Critical Care 24(6):381–386.Crossref, Google Scholar
• Olsen JA (2011) Concepts of equity and fairness in health and healthcare. The Oxford Handbook of Health Economics (Oxford University Press, Oxford, UK), 4.Google Scholar
• Pinker E, Tezcan T (2013) Determining the optimal configuration of hospital inpatient rooms in the presence of isolation patients. Oper. Res. 61(6):1259–1276.Link, Google Scholar
• Ranjan C, Paynabar K, Helm JE, Pan J (2017) The impact of estimation: A new method for clustering and trajectory estimation in patient flow modeling. Production Oper. Management 26(10):1893–1914.Crossref, Google Scholar
• Rutherford PA, Provost LP, Kotagal UR, Luther K, Anderson A (2017) Achieving hospital-wide patient flow. Technical report, Institute for Healthcare Improvement, Boston.Google Scholar
• Schäfer F, Walther M, Hübner A, Kuhn H (2019) Operational patient-bed assignment problem in large hospital settings including overflow and uncertainty management. Flexible Service Manufacturing J. 31(4):1012–1041.Crossref, Google Scholar
• Shi P, Chou MC, 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.Link, 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.Link, Google 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):3825–3842.Link, Google Scholar
• Stowell A, Claret P-G, Sebbane M, Bobbia X, Boyard C, Grandpierre RG, Moreau A, et al. (2013) Hospital out-lying through lack of beds and its impact on care and patient outcome. Scandinavian J. Trauma Resuscitation Emergency Medicine 21(1):17.Crossref, Google Scholar
• Stretch R, Della Penna N, Celi LA, Landon BE (2018) Effect of boarding on mortality in ICUs. Critical Care Medicine 46(4):525–531.Crossref, Google Scholar
• Thomas BG, Bollapragada S, Akbay K, Toledano D, Katlic P, Dulgeroglu O, Yang D (2013) Automated bed assignments in a complex and dynamic hospital environment. Interfaces 43(5):435–448.Link, Google Scholar
• Thompson S, Nunez M, Garfinkel R, Dean MD (2009) Or practice-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
• Tibshirani R (1996) Regression shrinkage and selection via the lasso. J. Royal Statist. Soc. B 58(1):267–288.Crossref, Google Scholar
• Xu H, Wu W, Nemati S, Zha H (2016) Patient flow prediction via discriminative learning of mutually-correcting processes. IEEE Trans. Knowledge Data Engrg. 29(1):157–171.Crossref, Google Scholar
• Zhalechian M, Keyvanshokooh E, Shi C, Van Oyen MP (2023) Data-driven hospital admission control: A learning approach. Oper. Res., ePub ahead of print August 10, https://doi.org/10.1287/opre.2020.0481.Google Scholar
• Zhang H, Best TJ, Chivu A, Meltzer DO (2020) Simulation-based optimization to improve hospital patient assignment to physicians and clinical units. Health Care Management Sci. 23(1):117–141.Crossref, Google Scholar