Sensitivity analysis of an ICU simulation model. Bountourelis, T., Eckman, D., Luangkesorn, L., Schaefer, A., Nabors, S. G., & Clermont, G. In C. Laroque, J. H. & Uhrmacher, A. M., editors, Proceedings of the 2012 Winter Simulation Conference, pages 931-942, 2012. IEEE..
Paper abstract bibtex The modeling and simulation of inpatient healthcare systems comprising of multiple interconnected units of monitored care is a challenging task given the nature of clinical practices and procedures that regulate patient flow. Therefore, any related study on the properties of patient flow should (i) explicitly consider the modeling of patient movement rules in face of congestion, and (ii) examine the sensitivity of simulation output, expressed by patient delays and diversions, over different patient movement modeling approaches. In this work, we use a high fidelity simulation model of a tertiary facility that can incorporate complex patient movement rules to investigate the challenges inherent in its employment for resource allocation tasks.
@inproceedings{BountourelisEtal2012,
abstract={The modeling and simulation of inpatient healthcare systems comprising of multiple interconnected units of monitored care is a challenging task given the nature of clinical practices and procedures that regulate patient flow. Therefore, any related study on the properties of patient flow should (i) explicitly consider the modeling of patient movement rules in face of congestion, and (ii) examine the sensitivity of simulation output, expressed by patient delays and diversions, over different patient movement modeling approaches. In this work, we use a high fidelity simulation model of a tertiary facility that can incorporate complex patient movement rules to investigate the challenges inherent in its employment for resource allocation tasks.},
title={Sensitivity analysis of an ICU simulation model},
author={Theologos Bountourelis and David Eckman and Louis Luangkesorn and Andrew Schaefer and Spencer G. Nabors and Gilles Clermont},
booktitle={Proceedings of the 2012 Winter Simulation Conference},
pages={931-942},
editor={C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A. M. Uhrmacher},
year={2012},
organization={IEEE.},
url_Paper={mypdfs/Bountourelis-etal-2012.pdf}
}
Downloads: 0
{"_id":"mg5e3z3HeXgqT89kY","bibbaseid":"bountourelis-eckman-luangkesorn-schaefer-nabors-clermont-sensitivityanalysisofanicusimulationmodel-2012","downloads":0,"creationDate":"2016-12-27T21:15:32.605Z","title":"Sensitivity analysis of an ICU simulation model","author_short":["Bountourelis, T.","Eckman, D.","Luangkesorn, L.","Schaefer, A.","Nabors, S. G.","Clermont, G."],"year":2012,"bibtype":"inproceedings","biburl":"https://people.orie.cornell.edu/dje88/publications.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","abstract":"The modeling and simulation of inpatient healthcare systems comprising of multiple interconnected units of monitored care is a challenging task given the nature of clinical practices and procedures that regulate patient flow. Therefore, any related study on the properties of patient flow should (i) explicitly consider the modeling of patient movement rules in face of congestion, and (ii) examine the sensitivity of simulation output, expressed by patient delays and diversions, over different patient movement modeling approaches. In this work, we use a high fidelity simulation model of a tertiary facility that can incorporate complex patient movement rules to investigate the challenges inherent in its employment for resource allocation tasks.","title":"Sensitivity analysis of an ICU simulation model","author":[{"firstnames":["Theologos"],"propositions":[],"lastnames":["Bountourelis"],"suffixes":[]},{"firstnames":["David"],"propositions":[],"lastnames":["Eckman"],"suffixes":[]},{"firstnames":["Louis"],"propositions":[],"lastnames":["Luangkesorn"],"suffixes":[]},{"firstnames":["Andrew"],"propositions":[],"lastnames":["Schaefer"],"suffixes":[]},{"firstnames":["Spencer","G."],"propositions":[],"lastnames":["Nabors"],"suffixes":[]},{"firstnames":["Gilles"],"propositions":[],"lastnames":["Clermont"],"suffixes":[]}],"booktitle":"Proceedings of the 2012 Winter Simulation Conference","pages":"931-942","editor":[{"propositions":[],"lastnames":["C.","Laroque"],"firstnames":["J.","Himmelspach"],"suffixes":["R.","Pasupathy",",","O.","Rose",",",""]},{"firstnames":["A.","M."],"propositions":[],"lastnames":["Uhrmacher"],"suffixes":[]}],"year":"2012","organization":"IEEE.","url_paper":"mypdfs/Bountourelis-etal-2012.pdf","bibtex":"@inproceedings{BountourelisEtal2012,\r\n abstract={The modeling and simulation of inpatient healthcare systems comprising of multiple interconnected units of monitored care is a challenging task given the nature of clinical practices and procedures that regulate patient flow. Therefore, any related study on the properties of patient flow should (i) explicitly consider the modeling of patient movement rules in face of congestion, and (ii) examine the sensitivity of simulation output, expressed by patient delays and diversions, over different patient movement modeling approaches. In this work, we use a high fidelity simulation model of a tertiary facility that can incorporate complex patient movement rules to investigate the challenges inherent in its employment for resource allocation tasks.},\r\n title={Sensitivity analysis of an ICU simulation model},\r\n author={Theologos Bountourelis and David Eckman and Louis Luangkesorn and Andrew Schaefer and Spencer G. Nabors and Gilles Clermont},\r\n booktitle={Proceedings of the 2012 Winter Simulation Conference},\r\n pages={931-942},\r\n editor={C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A. M. Uhrmacher},\r\n year={2012},\r\n organization={IEEE.},\r\n url_Paper={mypdfs/Bountourelis-etal-2012.pdf}\r\n}\r\n\r\n","author_short":["Bountourelis, T.","Eckman, D.","Luangkesorn, L.","Schaefer, A.","Nabors, S. G.","Clermont, G."],"editor_short":["C. Laroque, J. H.","Uhrmacher, A. M."],"key":"BountourelisEtal2012","id":"BountourelisEtal2012","bibbaseid":"bountourelis-eckman-luangkesorn-schaefer-nabors-clermont-sensitivityanalysisofanicusimulationmodel-2012","role":"author","urls":{" paper":"https://people.orie.cornell.edu/dje88/mypdfs/Bountourelis-etal-2012.pdf"},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"search_terms":["sensitivity","analysis","icu","simulation","model","bountourelis","eckman","luangkesorn","schaefer","nabors","clermont"],"keywords":[],"authorIDs":["5862da9b134b84c54d000013","5df26e2227cd2fde0100002d","5df4344a96bfa7de01000055","5e0cccf76762d1de0100001d","5e10f2b545c12cde010000f9","5e13957da212e1de010001e6","5e14a2a7830852de0100012a"],"dataSources":["g2wrkZMzQezm6G8rh"]}