The self-regulating nature of occupancy in ICUs: stochastic homoeostasis
Tóm tắt
Từ khóa
Tài liệu tham khảo
Asaduzzaman M, Chaussalet TJ, Robertson NJ (2010) A loss network model with overflow for capacity planning of a neonatal unit. Ann Oper Res 178(1):67–76. https://doi.org/10.1007/s10479-009-0548-x
Bahou N, Fenwick C, Anderson G, van der Meer R, Vassalos T (2017) Modeling the critical care pathway for cardiothoracic surgery. Health Care Manag Sci:1–120. https://doi.org/10.1007/s10729-017-9401-y
Bai J, Fügener A, Schoenfelder J, Brunner JO (2016) Operations research in intensive care unit management: a literature review. https://doi.org/10.1007/s10729-016-9375-1
Baker DR, Pronovost PJ, Morlock LL, Geocadin RG, Holzmueller CG (2009) Patient flow variability and unplanned readmissions to an intensive care unit, vol 37. https://doi.org/10.1097/CCM.0b013e3181b01caf . http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00003246-200911000-00003
Barado J, Guergué JM, Esparza L, Azcárate C, Mallor F, Ochoa S (2012) A mathematical model for simulating daily bed occupancy in an intensive care unit. Crit Care Med 40(4):1098–1104. https://doi.org/10.1097/CCM.0b013e3182374828 . http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00003246-201204000-00007
Barer ML, Evass RG, Hertzman C, Lomas J (1987) Aging and health care utilization: new evidence on old fallacies. Soc Sci Med 24(10):851–862. https://ac-els-cdn-com.proxy.library.adelaide.edu.au/0277953687901869/1-s2.0-0277953687901869-main.pdf?_tid=35e74484-9f32-11e7-90fc-00000aab0f26&acdnat=1506042546_4fb5dc42a00652a9e40bf814f731fc8c
Capuzzo M, Moreno RP, Alvisi R (2010) Admission and discharge of critically ill patients. Curr Opin Crit Care 16(5):499–504. https://doi.org/10.1097/MCC.0b013e32833cb874 . http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00075198-201010000-00019
Chalfin DB, Trzeciak S, Likourezos A, Baumann BM, Dellinger RP (2007) Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit. Crit Care Med 35 (6):1477–1483. https://doi.org/10.1097/01.CCM.0000266585.74905.5A . http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00003246-200706000-00004
Chan CW, Farias VF, Bambos N, Escobar GJ (2012) Optimizing intensive care unit discharge decisions with patient readmissions. Oper Res 60(6):1323–1341. https://doi.org/10.1287/opre.1120.1105
Cochran JK, Bharti A (2006) Stochastic bed balancing of an obstetrics hospital. Health Care Manag Sci 9(1):31–45. https://doi.org/10.1007/s10729-006-6278-6
Cochran JK, Roche K (2008) A queuing-based decision support methodology to estimate hospital inpatient bed demand. J Oper Res Soc 59(11):1471–1482. https://doi.org/10.1057/palgrave.jors.2602499
Costa AX, Ridley SA, Shahani AK, Harper PR, De Senna V, Nielsen M (2003) Mathematical modelling and simulation for planning critical care capacity. Anaesthesia 58(4):320–327. https://doi.org/10.1046/j.1365-2044.2003.03042.x
Creemers S, Lambrecht M (2008) Healthcare queueing models. Tech. rep. https://lirias.kuleuven.be/bitstream/123456789/164227/1/KBI_0804.pdf
Demir E, Lebcir R, Adeyemi S (2014) Modelling length of stay and patient flows: methodological case studies from the UK neonatal care services. J Oper Res Soc 65(4):532–545. https://doi.org/10.1057/jors.2013.51
van Dijk N, Kortbeek N (2008) On dimensioning intensive care units. Springer, Berlin, pp 291–296. https://doi.org/10.1007/978-3-540-77903-2_45
van Dijk NM, Kortbeek N (2009) Erlang loss bounds for OT–ICU systems. Queueing Systems 63(1-4):253–280. https://doi.org/10.1007/s11134-009-9149-2
Dobson G, Lee HH, Pinker E (2010) A model of ICU bumping. Oper Res 58(6):1564–1576. https://doi.org/10.1287/opre.1100.0861
Duraiswamy N, Welton R, Reisman A (1981) Using computer simulation to predict ICU staffing needs : journal of nursing administration. J Nurs Adm 11(1):45. https://journals.lww.com/jonajournal/Abstract/1981/02000/Using_Computer_Simulation_to_Predict_ICU_Staffing.9.aspx
Erramilli A, Narayan O, Willinger W (1996) Experimental queueing analysis with long-range dependent packet traffic. IEEE/ACM Trans Networking 4(2):209–223. https://doi.org/10.1109/90.491008
Goldfrad C, Rowan K (2000) Consequences of discharges from intensive care at night. The Lancet 355 (9210):1138–1142. https://doi.org/10.1016/S0140-6736(00)02062-6 . http://linkinghub.elsevier.com/retrieve/pii/S0140673600020626
Gray W, Wang P, Scott M (1992) An m/g/1-type queuing model with service times depending on queue length. Appl Math Model 16(12):652–658. https://doi.org/10.1016/0307-904X(92)90098-N . http://www.sciencedirect.com.proxy.library.adelaide.edu.au/science/article/pii/0307904X9290098N
Green LV (2002) How many hospital beds? Inquiry: a Journal of Medical Care Organization, Provision and Financing 39(4):400–412
Griffiths JD, Price-Lloyd N, Smithies M, Williams JE (2005) Modelling the requirement for supplementary nurses in an intensive care unit. J Oper Res Soc 56(2):126–133. https://doi.org/10.1057/palgrave.jors.2601882
Griffiths JD, Price-Lloyd N, Smithies M, Williams J (2006) A queueing model of activities in an intensive care unit. IMA J Manag Math 17(3):277–288. https://doi.org/10.1093/imaman/dpi042
Griffiths JD, Knight V, Komenda I (2012) Bed management in a Critical Care Unit. IMA J Manag Math 24(2):137–153. https://doi.org/10.1093/imaman/dpr028
Hagen M, Jopling J, Buchman TG, Lee EK (2013) Priority queuing models for hospital intensive care units and impacts to severe case patients. AMIA Ann Symp Proc 2013:841–850. https://www-ncbi-nlm-nih-gov.proxy.library.adelaide.edu.au/pmc/articles/PMC3900220/pdf/amia_2013_symposium_841.pdf
Harper PR, Shahani AK (2002) Modelling for the planning and management of bed capacities in hospitals. J Oper Res Soc 53(1):11–18. https://doi.org/10.1057/palgrave/jors/2601278 . http://www.jstor.org.proxy.library.adelaide.edu.au/stable/822874
Hohn N, Veitch D, Abry P (2002) Does fractal scaling at the IP level depend on TCP flow arrival processes? In: Proceedings of the 2nd ACM SIGCOMM…, pp 1–6. https://doi.org/10.1145/637205.637208 . http://portal.acm.org/citation.cfm?id=637201.637208%5Cnpapers3://publication/uuid/1649EFFD-8D38-4C8D-9A54-F3892B5B1B81
Howard G (2005) A shocking admission: patient exclusion from intensive care therapy. Critical Care and Resuscitation : Journal of the Australasian Academy of Critical Care Medicine 7(2):97–101
Kim SC, Horowitz I (2002) Scheduling hospital services: the eecacy of elective-surgery quotas. Omega 30:335–346. www.elsevier.com/locate/dsw
Kim SC, Horowitz I, Young KK, Buckley TA (1999) Analysis of capacity management of the intensive care unit in a hospital. Eur J Oper Res 115(1):36–46. https://doi.org/10.1016/S0377-2217(98)00135-0 . http://linkinghub.elsevier.com/retrieve/pii/S0377221798001350
Kolker A (2009) Process modeling of ICU patient flow: effect of daily load leveling of elective surgeries on ICU diversion. J Med Syst 33:27–40. https://doi.org/10.1007/s10916-008-9161-9 . https://link-springer-com.proxy.library.adelaide.edu.au/content/pdf/10.1007%2Fs10916-008-9161-9.pdf
Komenda I (2013) Modelling critical care unit activities through queueing theory. PhD thesis, School of Mathematics, Cardiff University
Litvak N, van Rijsbergen M, Boucherie RJ, van Houdenhoven M (2008) Managing the overflow of intensive care patients. Eur J Oper Res 185(3):998–1010. https://doi.org/10.1016/J.EJOR.2006.08.021 . https://www-sciencedirect-com.proxy.library.adelaide.edu.au/science/article/pii/S0377221706005819
Lowery JC (1992) Simulation of a hospital’s surgical suite and critical care area. In: Proceedings of the 24th conference on winter simulation, ACM, Arlington, Virginia, USA, pp 1071–1078. https://doi.org/10.1145/167293.167839
Lowery JC (1993) Multi-hospital validation of critical care simulation model. In: Proceedings of the 25th conference on winter simulation. ACM, Los Angeles, California, USA, pp 1207–1215. https://doi.org/10.1145/256563.257007
Mallor F, Azcárate C (2014) Combining optimization with simulation to obtain credible models for intensive care units. Ann Oper Res 221(1):255–271. https://doi.org/10.1007/s10479-011-1035-8
Masterson BJ, Mihara TG, Miller G, Randolph SC, Forkner ME, Crouter AL (2004) Using models and data to support optimization of the military health system: a case study in an intensive care unit. Health Care Manag Sci 7(3):217–224. https://doi.org/10.1023/B:HCMS.0000039384.92373.c4
McManus ML, Long MC, Cooper A, Litvak E (2004) Queuing theory accurately models the need for critical care resources. Anesthesiology 100(5):1271–1276. https://doi.org/10.1097/00000542-200405000-00032
Metcalfe MA, Sloggett A, McPherson K (1997) Mortality among appropriately referred patients refused admission to intensive-care units. Lancet 350(9070):7–11. https://doi.org/10.1016/S0140-6736(96)10018-0
Pilcher DV, Duke GJ, George C, Bailey MJ, Hart G (2007) After-hours discharge from intensive care increases the risk of readmission and death. Anaesth Intensive Care 35(4):477–485. https://doi.org/10.1016/S0734-3299(08)70638-5
Reinhardt U (2003) Does the aging of the population really drive the demand for health care? Health Aff 22(6):27–39. https://doi.org/10.1377/hlthaff.22.6.27
Ridge J, Jones S, Nielsen M, Shahani AK (1998) Capacity planning for intensive care units. Eur J Oper Res 105(2):346–355. https://doi.org/10.1016/S0377-2217(97)00240-3 . http://linkinghub.elsevier.com/retrieve/pii/S0377221797002403
Ridoux J, Nucci A, Veitch D (2006) Seeing the difference in IP traffic: wireless versus wireline. In: Proceedings - IEEE INFOCOM, pp 1–12. https://doi.org/10.1109/INFOCOM.2006.292
Robinson S (2004) Simulation : the practice of model development and use. Wiley. http://197.14.51.10:81/pmb/GENIE_DES_PROCEDES/SimulationThePracticeofModelDevelopmentandUse.pdf
Shahani AK, Ridley SA, Nielsen MS (2008) Modelling patient flows as an aid to decision making for critical care capacities and organisation. Anaesthesia 63(10):1074–1080. https://doi.org/10.1111/j.1365-2044.2008.05577.x
Shmueli A, Sprung CL, Kaplan EH (2003) Optimizing admissions to an intensive care unit. Health Care Manag Sci 6(3):131–136
Sinuff T, Kahnamoui K, Cook DJ, Luce JM, Levy MM (2004) Rationing critical care beds: a systematic review. Crit Care Med 32(7):1588–1597. https://doi.org/10.1097/01.CCM.0000130175.38521.9F . http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00003246-200407000-00019
Troy PM, Rosenberg L (2009) Using simulation to determine the need for ICU beds for surgery patients. Surgery 146(4):608–620. https://ac-els-cdn-com.proxy.library.adelaide.edu.au/S0039606009004061/1-s2.0-S0039606009004061-main.pdf?_tid=41dfbf85-193b-4960-b3d7-66ab3f7f1720&acdnat=1523249189_5b4ab7992e095f19592eba8ebc23208a
Wharton F (1996) On the risk of premature transfer from coronary care units. Pergamon Omega Int J Mgmt Sci 24 (4):413–423. https://ac-els-cdn-com.proxy.library.adelaide.edu.au/030504839600014X/1-s2.0-030504839600014X-main.pdf?_tid=ae5aa249-1402-471a-94da-c2c613970960&acdnat=1523247644_7607d6c8e48fd44f92e89e1325a76976
Williams SV (1983) How many intensive care beds are enough? Crit Care Med 11 (6):412–416. http://www.ncbi.nlm.nih.gov/pubmed/6687862
Yang M, Fry MJ, Raikhelkar J, Chin C, Anyanwu A, Brand J, Scurlock C (2013) A model to create an efficient and equitable admission policy for patients arriving to the cardiothoracic ICU. Crit Care Med 41(2):414–422. https://doi.org/10.1097/CCM.0b013e31826a44d7 . https://insights.ovid.com/crossref?an=00003246-201302000-00006