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Methodological approaches to support process improvement in emergency departments: a systematic review

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Methodological approaches to support process improvement in emergency departments: a systematic review

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dc.contributor.author Ortíz-Barrios, Miguel Angel es_ES
dc.contributor.author Alfaro Saiz, Juan José es_ES
dc.date.accessioned 2021-07-15T03:36:36Z
dc.date.available 2021-07-15T03:36:36Z
dc.date.issued 2020-04 es_ES
dc.identifier.uri http://hdl.handle.net/10251/169303
dc.description.abstract [EN] The most commonly used techniques for addressing each Emergency Department (ED) problem (overcrowding, prolonged waiting time, extended length of stay, excessive patient flow time, and high left-without-being-seen (LWBS) rates) were specified to provide healthcare managers and researchers with a useful framework for effectively solving these operational deficiencies. Finally, we identified the existing research tendencies and highlighted opportunities for future work. We implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to undertake a review including scholarly articles published between April 1993 and October 2019. The selected papers were categorized considering the leading ED problems and publication year. Two hundred and three (203) papers distributed in 120 journals were found to meet the inclusion criteria. Furthermore, computer simulation and lean manufacturing were concluded to be the most prominent approaches for addressing the leading operational problems in EDs. In future interventions, ED administrators and researchers are widely advised to combine Operations Research (OR) methods, quality-based techniques, and data-driven approaches for upgrading the performance of EDs. On a different tack, more interventions are required for tackling overcrowding and high left-without-being-seen rates. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof International Journal of Environmental research and Public Health (Online) es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Healthcare es_ES
dc.subject Emergency department es_ES
dc.subject Process improvement es_ES
dc.subject Systematic review es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Methodological approaches to support process improvement in emergency departments: a systematic review es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/ijerph17082664 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Ortíz-Barrios, MA.; Alfaro Saiz, JJ. (2020). Methodological approaches to support process improvement in emergency departments: a systematic review. International Journal of Environmental research and Public Health (Online). 17(8):1-41. https://doi.org/10.3390/ijerph17082664 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/ijerph17082664 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 41 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.description.issue 8 es_ES
dc.identifier.eissn 1660-4601 es_ES
dc.identifier.pmid 32294985 es_ES
dc.identifier.pmcid PMC7216091 es_ES
dc.relation.pasarela S\414377 es_ES
dc.description.references Soril, L. J. J., Leggett, L. E., Lorenzetti, D. L., Noseworthy, T. W., & Clement, F. M. (2015). Reducing Frequent Visits to the Emergency Department: A Systematic Review of Interventions. PLOS ONE, 10(4), e0123660. doi:10.1371/journal.pone.0123660 es_ES
dc.description.references Jarvis, P. R. E. (2016). Improving emergency department patient flow. Clinical and Experimental Emergency Medicine, 3(2), 63-68. doi:10.15441/ceem.16.127 es_ES
dc.description.references Emergency Department Quality Improvement: Transforming the Delivery of Carehttps://www.healthcatalyst.com/insights/emergency-department-quality-improvement-transforming-delivery-care es_ES
dc.description.references Migita, R., Yoshida, H., Rutman, L., & Woodward, G. A. (2018). Quality Improvement Methodologies. Pediatric Clinics of North America, 65(6), 1283-1296. doi:10.1016/j.pcl.2018.07.011 es_ES
dc.description.references Holden, R. J. (2011). Lean Thinking in Emergency Departments: A Critical Review. Annals of Emergency Medicine, 57(3), 265-278. doi:10.1016/j.annemergmed.2010.08.001 es_ES
dc.description.references Mazzocato, P., Savage, C., Brommels, M., Aronsson, H., & Thor, J. (2010). Lean thinking in healthcare: a realist review of the literature. BMJ Quality & Safety, 19(5), 376-382. doi:10.1136/qshc.2009.037986 es_ES
dc.description.references Günal, M. M., & Pidd, M. (2010). Discrete event simulation for performance modelling in health care: a review of the literature. Journal of Simulation, 4(1), 42-51. doi:10.1057/jos.2009.25 es_ES
dc.description.references Paul, S. A., Reddy, M. C., & DeFlitch, C. J. (2010). A Systematic Review of Simulation Studies Investigating Emergency Department Overcrowding. SIMULATION, 86(8-9), 559-571. doi:10.1177/0037549709360912 es_ES
dc.description.references Vanbrabant, L., Braekers, K., Ramaekers, K., & Van Nieuwenhuyse, I. (2019). Simulation of emergency department operations: A comprehensive review of KPIs and operational improvements. Computers & Industrial Engineering, 131, 356-381. doi:10.1016/j.cie.2019.03.025 es_ES
dc.description.references Saghafian, S., Austin, G., & Traub, S. J. (2015). Operations research/management contributions to emergency department patient flow optimization: Review and research prospects. IIE Transactions on Healthcare Systems Engineering, 5(2), 101-123. doi:10.1080/19488300.2015.1017676 es_ES
dc.description.references Althaus, F., Paroz, S., Hugli, O., Ghali, W. A., Daeppen, J.-B., Peytremann-Bridevaux, I., & Bodenmann, P. (2011). Effectiveness of Interventions Targeting Frequent Users of Emergency Departments: A Systematic Review. Annals of Emergency Medicine, 58(1), 41-52.e42. doi:10.1016/j.annemergmed.2011.03.007 es_ES
dc.description.references Flores-Mateo, G., Violan-Fors, C., Carrillo-Santisteve, P., Peiró, S., & Argimon, J.-M. (2012). Effectiveness of Organizational Interventions to Reduce Emergency Department Utilization: A Systematic Review. PLoS ONE, 7(5), e35903. doi:10.1371/journal.pone.0035903 es_ES
dc.description.references Boyle, A., Beniuk, K., Higginson, I., & Atkinson, P. (2012). Emergency Department Crowding: Time for Interventions and Policy Evaluations. Emergency Medicine International, 2012, 1-8. doi:10.1155/2012/838610 es_ES
dc.description.references Crawford, K., Morphet, J., Jones, T., Innes, K., Griffiths, D., & Williams, A. (2014). Initiatives to reduce overcrowding and access block in Australian emergency departments: A literature review. Collegian, 21(4), 359-366. doi:10.1016/j.colegn.2013.09.005 es_ES
dc.description.references Oredsson, S., Jonsson, H., Rognes, J., Lind, L., Göransson, K. E., Ehrenberg, A., … Farrohknia, N. (2011). A systematic review of triage-related interventions to improve patient flow in emergency departments. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 19(1), 43. doi:10.1186/1757-7241-19-43 es_ES
dc.description.references Clarey, A. J., & Cooke, M. W. (2011). Patients who leave emergency departments without being seen: literature review and English data analysis. Emergency Medicine Journal, 29(8), 617-621. doi:10.1136/emermed-2011-200537 es_ES
dc.description.references Marcozzi, D., Carr, B., Liferidge, A., Baehr, N., & Browne, B. (2017). Trends in the Contribution of Emergency Departments to the Provision of Hospital-Associated Health Care in the USA. International Journal of Health Services, 48(2), 267-288. doi:10.1177/0020731417734498 es_ES
dc.description.references Bellow, A. A., & Gillespie, G. L. (2014). The Evolution of ED Crowding. Journal of Emergency Nursing, 40(2), 153-160. doi:10.1016/j.jen.2013.01.013 es_ES
dc.description.references Ashour, O. M., & Okudan Kremer, G. E. (2014). Dynamic patient grouping and prioritization: a new approach to emergency department flow improvement. Health Care Management Science, 19(2), 192-205. doi:10.1007/s10729-014-9311-1 es_ES
dc.description.references Goel, S., Singh, A., & Tiwari, Y. (2014). Arrival time pattern and waiting time distribution of patients in the emergency outpatient department of a tertiary level health care institution of North India. Journal of Emergencies, Trauma, and Shock, 7(3), 160. doi:10.4103/0974-2700.136855 es_ES
dc.description.references Driesen, B. E. J. M., van Riet, B. H. G., Verkerk, L., Bonjer, H. J., Merten, H., & Nanayakkara, P. W. B. (2018). Long length of stay at the emergency department is mostly caused by organisational factors outside the influence of the emergency department: A root cause analysis. PLOS ONE, 13(9), e0202751. doi:10.1371/journal.pone.0202751 es_ES
dc.description.references Mason, S., Weber, E. J., Coster, J., Freeman, J., & Locker, T. (2012). Time Patients Spend in the Emergency Department: England’s 4-Hour Rule—A Case of Hitting the Target but Missing the Point? Annals of Emergency Medicine, 59(5), 341-349. doi:10.1016/j.annemergmed.2011.08.017 es_ES
dc.description.references Herring, A., Wilper, A., Himmelstein, D. U., Woolhandler, S., Espinola, J. A., Brown, D. F. M., & Camargo Jr., C. A. (2009). Increasing Length of Stay Among Adult Visits to U.S. Emergency Departments, 2001-2005. Academic Emergency Medicine, 16(7), 609-616. doi:10.1111/j.1553-2712.2009.00428.x es_ES
dc.description.references Easter, B., Houshiarian, N., Pati, D., & Wiler, J. L. (2019). Designing efficient emergency departments: Discrete event simulation of internal-waiting areas and split flow sorting. The American Journal of Emergency Medicine, 37(12), 2186-2193. doi:10.1016/j.ajem.2019.03.017 es_ES
dc.description.references Fuentes, E., Shields, J.-F., Chirumamilla, N., Martinez, M., Kaafarani, H., Yeh, D. D., … Lee, J. (2016). «One-way-street» streamlined admission of critically ill trauma patients reduces emergency department length of stay. Internal and Emergency Medicine, 12(7), 1019-1024. doi:10.1007/s11739-016-1511-x es_ES
dc.description.references Ajdari, A., Boyle, L. N., Kannan, N., Wang, J., Rivara, F. P., & Vavilala, M. S. (2018). Simulation of the Emergency Department Care Process for Pediatric Traumatic Brain Injury. Journal for Healthcare Quality, 40(2), 110-118. doi:10.1097/jhq.0000000000000119 es_ES
dc.description.references Best, A. M., Dixon, C. A., Kelton, W. D., Lindsell, C. J., & Ward, M. J. (2014). Using discrete event computer simulation to improve patient flow in a Ghanaian acute care hospital. The American Journal of Emergency Medicine, 32(8), 917-922. doi:10.1016/j.ajem.2014.05.012 es_ES
dc.description.references Bokhorst, J. A. C., & van der Vaart, T. (2018). Acute medical unit design – The impact of rearranged patient flows. Socio-Economic Planning Sciences, 62, 75-83. doi:10.1016/j.seps.2017.08.003 es_ES
dc.description.references Coughlan, J., Eatock, J., & Patel, N. (2010). Simulating the use of re-prioritisation as a wait-reduction strategy in an emergency department. Emergency Medicine Journal, 28(12), 1013-1018. doi:10.1136/emj.2010.100255 es_ES
dc.description.references Hung, G. R., & Kissoon, N. (2009). Impact of an Observation Unit and an Emergency Department-Admitted Patient Transfer Mandate in Decreasing Overcrowding in a Pediatric Emergency Department. Pediatric Emergency Care, 25(3), 160-163. doi:10.1097/pec.0b013e31819a7e20 es_ES
dc.description.references Munira Ibrahim, I., Liong, C.-Y., Abu Bakar, S., & Farid Najmudd, A. (2018). Performance Improvement of the Yellow Zone in Emergency Department using Discrete Event Simulation Approach. International Journal of Engineering & Technology, 7(4.33), 102. doi:10.14419/ijet.v7i4.33.23509 es_ES
dc.description.references Keyloun, K. R., Lofgren, E., & Hebert, S. (2019). Modeling operational quality metrics and costs of long-acting antibiotics for acute bacterial skin and skin structure infection treatment in the emergency department. Journal of Medical Economics, 22(7), 652-661. doi:10.1080/13696998.2019.1591423 es_ES
dc.description.references Khare, R. K., Powell, E. S., Reinhardt, G., & Lucenti, M. (2009). Adding More Beds to the Emergency Department or Reducing Admitted Patient Boarding Times: Which Has a More Significant Influence on Emergency Department Congestion? Annals of Emergency Medicine, 53(5), 575-585.e2. doi:10.1016/j.annemergmed.2008.07.009 es_ES
dc.description.references Konrad, R., DeSotto, K., Grocela, A., McAuley, P., Wang, J., Lyons, J., & Bruin, M. (2013). Modeling the impact of changing patient flow processes in an emergency department: Insights from a computer simulation study. Operations Research for Health Care, 2(4), 66-74. doi:10.1016/j.orhc.2013.04.001 es_ES
dc.description.references La, J., & Jewkes, E. M. (2013). Defining an optimal ED fast track strategy using simulation. Journal of Enterprise Information Management, 26(1/2), 109-118. doi:10.1108/17410391311289578 es_ES
dc.description.references Baia Medeiros, D. T., Hahn-Goldberg, S., Aleman, D. M., & O’Connor, E. (2019). Planning Capacity for Mental Health and Addiction Services in the Emergency Department: A Discrete-Event Simulation Approach. Journal of Healthcare Engineering, 2019, 1-11. doi:10.1155/2019/8973515 es_ES
dc.description.references Oh, C., Novotny, A. M., Carter, P. L., Ready, R. K., Campbell, D. D., & Leckie, M. C. (2016). Use of a simulation-based decision support tool to improve emergency department throughput. Operations Research for Health Care, 9, 29-39. doi:10.1016/j.orhc.2016.03.002 es_ES
dc.description.references Paul, J. A., & Lin, L. (2012). Models for Improving Patient Throughput and Waiting at Hospital Emergency Departments. The Journal of Emergency Medicine, 43(6), 1119-1126. doi:10.1016/j.jemermed.2012.01.063 es_ES
dc.description.references Rasheed, F., Lee, Y. H., Kim, S. H., & Park, I. C. (2012). Development of Emergency Department Load Relief Area—Gauging Benefits in Empirical Terms. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare, 7(6), 343-352. doi:10.1097/sih.0b013e31825ded80 es_ES
dc.description.references Rosmulder, R. W., Krabbendam, J. J., Kerkhoff, A. H. M., Houser, C. M., & Luitse, J. S. K. (2011). Erratum to: Computer Simulation Within Action Research: A Promising Combination for Improving Healthcare Delivery? Systemic Practice and Action Research, 24(3), 273-273. doi:10.1007/s11213-011-9196-6 es_ES
dc.description.references Saoud, M. S., Boubetra, A., & Attia, S. (2016). A Simulation Knowledge Extraction-based Decision Support System for the Healthcare Emergency Department. International Journal of Healthcare Information Systems and Informatics, 11(2), 19-37. doi:10.4018/ijhisi.2016040102 es_ES
dc.description.references Steward, D., Glass, T. F., & Ferrand, Y. B. (2017). Simulation-Based Design of ED Operations with Care Streams to Optimize Care Delivery and Reduce Length of Stay in the Emergency Department. Journal of Medical Systems, 41(10). doi:10.1007/s10916-017-0804-6 es_ES
dc.description.references Thomas Schneider, A. J., Luuk Besselink, P., Zonderland, M. E., Boucherie, R. J., van den Hout, W. B., Kievit, J., … Rabelink, T. J. (2018). Allocating Emergency Beds Improves the Emergency Admission Flow. Interfaces, 48(4), 384-394. doi:10.1287/inte.2018.0951 es_ES
dc.description.references Wang, T., Guinet, A., Belaidi, A., & Besombes, B. (2009). Modelling and simulation of emergency services with ARIS and Arena. Case study: the emergency department of Saint Joseph and Saint Luc Hospital. Production Planning & Control, 20(6), 484-495. doi:10.1080/09537280902938605 es_ES
dc.description.references Zeng, Z., Ma, X., Hu, Y., Li, J., & Bryant, D. (2012). A Simulation Study to Improve Quality of Care in the Emergency Department of a Community Hospital. Journal of Emergency Nursing, 38(4), 322-328. doi:10.1016/j.jen.2011.03.005 es_ES
dc.description.references Allaudeen, N., Vashi, A., Breckenridge, J. S., Haji-Sheikhi, F., Wagner, S., Posley, K. A., & Asch, S. M. (2017). Using Lean Management to Reduce Emergency Department Length of Stay for Medicine Admissions. Quality Management in Health Care, 26(2), 91-96. doi:10.1097/qmh.0000000000000132 es_ES
dc.description.references Arbune, A., Wackerbarth, S., Allison, P., & Conigliaro, J. (2017). Improvement through Small Cycles of Change: Lessons from an Academic Medical Center Emergency Department. Journal for Healthcare Quality, 39(5), 259-269. doi:10.1111/jhq.12078 es_ES
dc.description.references Carter, P. M., Desmond, J. S., Akanbobnaab, C., Oteng, R. A., Rominski, S. D., Barsan, W. G., & Cunningham, R. M. (2012). Optimizing Clinical Operations as Part of a Global Emergency Medicine Initiative in Kumasi, Ghana: Application of Lean Manufacturing Principals to Low-resource Health Systems. Academic Emergency Medicine, 19(3), 338-347. doi:10.1111/j.1553-2712.2012.01311.x es_ES
dc.description.references Dickson, E. W., Anguelov, Z., Bott, P., Nugent, A., Walz, D., & Singh, S. (2008). The sustainable improvement of patient flow in an emergency treatment centre using Lean. International Journal of Six Sigma and Competitive Advantage, 4(3), 289. doi:10.1504/ijssca.2008.021841 es_ES
dc.description.references Dickson, E. W., Anguelov, Z., Vetterick, D., Eller, A., & Singh, S. (2009). Use of Lean in the Emergency Department: A Case Series of 4 Hospitals. Annals of Emergency Medicine, 54(4), 504-510. doi:10.1016/j.annemergmed.2009.03.024 es_ES
dc.description.references Dickson, E. W., Singh, S., Cheung, D. S., Wyatt, C. C., & Nugent, A. S. (2009). Application of Lean Manufacturing Techniques in the Emergency Department. The Journal of Emergency Medicine, 37(2), 177-182. doi:10.1016/j.jemermed.2007.11.108 es_ES
dc.description.references Elamir, H. (2018). Improving patient flow through applying lean concepts to emergency department. Leadership in Health Services, 31(3), 293-309. doi:10.1108/lhs-02-2018-0014 es_ES
dc.description.references Hitti, E. A., El-Eid, G. R., Tamim, H., Saleh, R., Saliba, M., & Naffaa, L. (2017). Improving Emergency Department radiology transportation time: a successful implementation of lean methodology. BMC Health Services Research, 17(1). doi:10.1186/s12913-017-2488-5 es_ES
dc.description.references Kane, M., Chui, K., Rimicci, J., Callagy, P., Hereford, J., Shen, S., … Pickham, D. (2015). Lean Manufacturing Improves Emergency Department Throughput and Patient Satisfaction. JONA: The Journal of Nursing Administration, 45(9), 429-434. doi:10.1097/nna.0000000000000228 es_ES
dc.description.references Migita, R., Del Beccaro, M., Cotter, D., & Woodward, G. A. (2011). Emergency Department Overcrowding: Developing Emergency Department Capacity Through Process Improvement. Clinical Pediatric Emergency Medicine, 12(2), 141-150. doi:10.1016/j.cpem.2011.04.001 es_ES
dc.description.references Ng, D., Vail, G., Thomas, S., & Schmidt, N. (2010). Applying the Lean principles of the Toyota Production System to reduce wait times in the emergency department. CJEM, 12(01), 50-57. doi:10.1017/s1481803500012021 es_ES
dc.description.references Peng, L. S., Rasid, M. F., & Salim, W. I. (2019). Using modified triage system to improve emergency department efficacy: A successful Lean implementation. International Journal of Healthcare Management, 14(2), 419-423. doi:10.1080/20479700.2019.1655216 es_ES
dc.description.references Rotteau, L., Webster, F., Salkeld, E., Hellings, C., Guttmann, A., … Vermeulen, M. J. (2015). Ontario’s Emergency Department Process Improvement Program: The Experience of Implementation. Academic Emergency Medicine, 22(6), 720-729. doi:10.1111/acem.12688 es_ES
dc.description.references Sánchez, M., SUÁREZ, M., ASENJO, M., & BRAGULAT, E. (2018). Improvement of emergency department patient flow using lean thinking. International Journal for Quality in Health Care, 30(4), 250-256. doi:10.1093/intqhc/mzy017 es_ES
dc.description.references El Sayed, M. J., El-Eid, G. R., Saliba, M., Jabbour, R., & Hitti, E. A. (2015). Improving Emergency Department Door to Doctor Time and Process Reliability. Medicine, 94(42), e1679. doi:10.1097/md.0000000000001679 es_ES
dc.description.references Van der Linden, M. C. (Christien), van Ufford, H. M. E. (Jet), & van der Linden, N. (Naomi). (2019). The impact of a multimodal intervention on emergency department crowding and patient flow. International Journal of Emergency Medicine, 12(1). doi:10.1186/s12245-019-0238-7 es_ES
dc.description.references Vermeulen, M. J., Stukel, T. A., Guttmann, A., Rowe, B. H., Zwarenstein, M., Golden, B., … Zwarenstein, M. (2014). Evaluation of an Emergency Department Lean Process Improvement Program to Reduce Length of Stay. Annals of Emergency Medicine, 64(5), 427-438. doi:10.1016/j.annemergmed.2014.06.007 es_ES
dc.description.references White, B., Chang, Y., Grabowski, B., & Brown, D. (2014). Using Lean-Based Systems Engineering to Increase Capacity in the Emergency Department. Western Journal of Emergency Medicine, 15(7), 770-776. doi:10.5811/westjem.2014.8.21272 es_ES
dc.description.references Cheng, I., Zwarenstein, M., Kiss, A., Castren, M., Brommels, M., & Schull, M. (2017). Factors associated with failure of emergency wait-time targets for high acuity discharges and intensive care unit admissions. CJEM, 20(1), 112-124. doi:10.1017/cem.2017.16 es_ES
dc.description.references Forero, R., Man, N., McCarthy, S., Richardson, D., Mohsin, M., Toloo, G. (Sam), … Hillman, K. (2018). Impact of the National Emergency Access Target policy on emergency departments’ performance: A time‐trend analysis for New South Wales, Australian Capital Territory and Queensland. Emergency Medicine Australasia, 31(2), 253-261. doi:10.1111/1742-6723.13142 es_ES
dc.description.references Kaushik, N., Khangulov, V. S., O’Hara, M., & Arnaout, R. (2018). Reduction in laboratory turnaround time decreases emergency room length of stay. Open Access Emergency Medicine, Volume 10, 37-45. doi:10.2147/oaem.s155988 es_ES
dc.description.references Maniaci, M. J., Lachner, C., Vadeboncoeur, T. F., Hodge, D. O., Dawson, N. L., Rummans, T. A., … Burton, M. C. (2020). Involuntary patient length-of-stay at a suburban emergency department. The American Journal of Emergency Medicine, 38(3), 534-538. doi:10.1016/j.ajem.2019.05.045 es_ES
dc.description.references Singh, N., Robinson, R. D., Duane, T. M., Kirby, J. J., Lyell, C., Buca, S., … Wang, H. (2019). Role of ED crowding relative to trauma quality care in a Level 1 Trauma Center. The American Journal of Emergency Medicine, 37(4), 579-584. doi:10.1016/j.ajem.2018.06.029 es_ES
dc.description.references Street, M., Mohebbi, M., Berry, D., Cross, A., & Considine, J. (2018). Influences on emergency department length of stay for older people. European Journal of Emergency Medicine, 25(4), 242-249. doi:10.1097/mej.0000000000000452 es_ES
dc.description.references Van der Veen, D., Remeijer, C., Fogteloo, A. J., Heringhaus, C., & de Groot, B. (2018). Independent determinants of prolonged emergency department length of stay in a tertiary care centre: a prospective cohort study. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 26(1). doi:10.1186/s13049-018-0547-5 es_ES
dc.description.references Yau, F. F.-F., Tsai, T.-C., Lin, Y.-R., Wu, K.-H., Syue, Y.-J., & Li, C.-J. (2018). Can different physicians providing urgent and non-urgent treatment improve patient flow in emergency department? The American Journal of Emergency Medicine, 36(6), 993-997. doi:10.1016/j.ajem.2017.11.010 es_ES
dc.description.references Brent, A. S., Rahman, W. M., Knarr, L. L., Harrison, J. A., Kearns, K. L., & Lindstrom, D. S. (2009). Reducing Cycle Times in Pediatric Emergency Medicine. Pediatric Emergency Care, 25(5), 307-311. doi:10.1097/pec.0b013e3181a3482b es_ES
dc.description.references Fernandes, C. M. B., & Christenson, J. M. (1995). Use of continuous quality improvement to facilitate patient flow through the triage and Fast-Track areas of an emergency department. The Journal of Emergency Medicine, 13(6), 847-855. doi:10.1016/0736-4679(95)02023-3 es_ES
dc.description.references Fernandes, C. M. B., Christenson, J. M., & Price, A. (1996). Continuous Quality Improvement Reduces Length of Stay for Fast-track Patients in an Emergency Department. Academic Emergency Medicine, 3(3), 258-263. doi:10.1111/j.1553-2712.1996.tb03430.x es_ES
dc.description.references Higgins III, G. L., & Becker, M. H. (2000). A Continuous Quality Improvement Approach to IL-372 Documentation Compliance in an Academic Emergency Department, and Its Impact on Dictation Costs, Billing Practices, and Average Patient Length of Stay. Academic Emergency Medicine, 7(3), 269-275. doi:10.1111/j.1553-2712.2000.tb01074.x es_ES
dc.description.references Lovett, P. B., Illg, M. L., & Sweeney, B. E. (2014). A Successful Model for a Comprehensive Patient Flow Management Center at an Academic Health System. American Journal of Medical Quality, 31(3), 246-255. doi:10.1177/1062860614564618 es_ES
dc.description.references Preyde, M., Crawford, K., & Mullins, L. (2012). Patients’ satisfaction and wait times at Guelph General Hospital Emergency Department before and after implementation of a process improvement project. CJEM, 14(03), 157-168. doi:10.2310/8000.2012.110590 es_ES
dc.description.references Ajmi, F., Zgaya, H., Othman, S. B., & Hammadi, S. (2019). Agent-based dynamic optimization for managing the workflow of the patient’s pathway. Simulation Modelling Practice and Theory, 96, 101935. doi:10.1016/j.simpat.2019.101935 es_ES
dc.description.references Haydar, S. A., Strout, T. D., & Baumann, M. R. (2016). Sustainable Mechanism to Reduce Emergency Department (ED) Length of Stay: The Use of ED Holding (ED Transition) Orders to Reduce ED Length of Stay. Academic Emergency Medicine, 23(7), 776-785. doi:10.1111/acem.12967 es_ES
dc.description.references Prybutok, G. L. (2018). Ninety to Nothing: a PDSA quality improvement project. International Journal of Health Care Quality Assurance, 31(4), 361-372. doi:10.1108/ijhcqa-06-2017-0093 es_ES
dc.description.references Oueida, S., Kotb, Y., Aloqaily, M., Jararweh, Y., & Baker, T. (2018). An Edge Computing Based Smart Healthcare Framework for Resource Management. Sensors, 18(12), 4307. doi:10.3390/s18124307 es_ES
dc.description.references Derni, O., Boufera, F., & Khelfi, M. F. (2019). Coloured Petri net for modelling and improving emergency department based on the simulation model. International Journal of Simulation and Process Modelling, 14(1), 72. doi:10.1504/ijspm.2019.097717 es_ES
dc.description.references Bellew, S. D., Collins, S. P., Barrett, T. W., Russ, S. E., Jones, I. D., Slovis, C. M., & Self, W. H. (2018). Implementation of an Opioid Detoxification Management Pathway Reduces Emergency Department Length of Stay. Academic Emergency Medicine, 25(10), 1157-1163. doi:10.1111/acem.13457 es_ES
dc.description.references Than, M. P., Pickering, J. W., Dryden, J. M., Lord, S. J., Aitken, S. A., Aldous, S. J., … Yates, K. M. (2018). ICare-ACS (Improving Care Processes for Patients With Suspected Acute Coronary Syndrome). Circulation, 137(4), 354-363. doi:10.1161/circulationaha.117.031984 es_ES
dc.description.references Brouns, S. H. A., Stassen, P. M., Lambooij, S. L. E., Dieleman, J., Vanderfeesten, I. T. P., & Haak, H. R. (2015). Organisational Factors Induce Prolonged Emergency Department Length of Stay in Elderly Patients – A Retrospective Cohort Study. PLOS ONE, 10(8), e0135066. doi:10.1371/journal.pone.0135066 es_ES
dc.description.references Chan, T. C., Killeen, J. P., Kelly, D., & Guss, D. A. (2005). Impact of Rapid Entry and Accelerated Care at Triage on Reducing Emergency Department Patient Wait Times, Lengths of Stay, and Rate of Left Without Being Seen. Annals of Emergency Medicine, 46(6), 491-497. doi:10.1016/j.annemergmed.2005.06.013 es_ES
dc.description.references Christensen, M., Rosenberg, M., Mahon, E., Pineda, S., Rojas, E., Soque, V., & Johansen, M. L. (2016). Pivot Nursing: An Alternative to Traditional ED Triage. Journal of Emergency Nursing, 42(5), 395-399. doi:10.1016/j.jen.2015.07.014 es_ES
dc.description.references Christianson, J. B., Warrick, L. H., Howard, R., & Vollum, J. (2005). Deploying Six Sigma in a Health Care System as a Work in Progress. The Joint Commission Journal on Quality and Patient Safety, 31(11), 603-613. doi:10.1016/s1553-7250(05)31078-6 es_ES
dc.description.references DeFlitch, C., Geeting, G., & Paz, H. L. (2015). Reinventing Emergency Department Flow via Healthcare Delivery Science. HERD: Health Environments Research & Design Journal, 8(3), 105-115. doi:10.1177/1937586715580949 es_ES
dc.description.references Liu, Z., Rexachs, D., Epelde, F., & Luque, E. (2017). An agent-based model for quantitatively analyzing and predicting the complex behavior of emergency departments. Journal of Computational Science, 21, 11-23. doi:10.1016/j.jocs.2017.05.015 es_ES
dc.description.references Oueida, S., Kotb, Y., Kadry, S., & Ionescu, S. (2018). Healthcare Operation Improvement Based on Simulation of Cooperative Resource Preservation Nets for None-Consumable Resources. Complexity, 2018, 1-14. doi:10.1155/2018/4102968 es_ES
dc.description.references Sloan, J., Chatterjee, K., Sloan, T., Holland, G., Waters, M., Ewins, D., & Laundy, N. (2009). Effect of a pathway bundle on length of stay. Emergency Medicine Journal, 26(7), 479-483. doi:10.1136/emj.2008.058891 es_ES
dc.description.references Stone-Griffith, S., Englebright, J. D., Cheung, D., Korwek, K. M., & Perlin, J. B. (2012). Data-Driven Process and Operational Improvement in the Emergency Department: The ED Dashboard and Reporting Application. Journal of Healthcare Management, 57(3), 167-181. doi:10.1097/00115514-201205000-00006 es_ES
dc.description.references Bish, P. A., McCormick, M. A., & Otegbeye, M. (2016). Ready-JET-Go: Split Flow Accelerates ED Throughput. Journal of Emergency Nursing, 42(2), 114-119. doi:10.1016/j.jen.2015.06.003 es_ES
dc.description.references Blick, K. E. (2013). Providing Critical Laboratory Results on Time, Every Time to Help Reduce Emergency Department Length of Stay. American Journal of Clinical Pathology, 140(2), 193-202. doi:10.1309/ajcpnutipqtrrg0d es_ES
dc.description.references Chadha, R., Singh, A., & Kalra, J. (2012). Lean and queuing integration for the transformation of health care processes. Clinical Governance: An International Journal, 17(3), 191-199. doi:10.1108/14777271211251309 es_ES
dc.description.references Chen, T.-L., & Wang, C.-C. (2016). Multi-objective simulation optimization for medical capacity allocation in emergency department. Journal of Simulation, 10(1), 50-68. doi:10.1057/jos.2014.39 es_ES
dc.description.references Elalouf, A., & Wachtel, G. (2015). An alternative scheduling approach for improving patient-flow in emergency departments. Operations Research for Health Care, 7, 94-102. doi:10.1016/j.orhc.2015.08.002 es_ES
dc.description.references Feng, Y.-Y., Wu, I.-C., & Chen, T.-L. (2015). Stochastic resource allocation in emergency departments with a multi-objective simulation optimization algorithm. Health Care Management Science, 20(1), 55-75. doi:10.1007/s10729-015-9335-1 es_ES
dc.description.references Ferrand, Y. B., Magazine, M. J., Rao, U. S., & Glass, T. F. (2018). Managing responsiveness in the emergency department: Comparing dynamic priority queue with fast track. Journal of Operations Management, 58-59(1), 15-26. doi:10.1016/j.jom.2018.03.001 es_ES
dc.description.references Furterer, S. L. (2018). Applying Lean Six Sigma methods to reduce length of stay in a hospital’s emergency department. Quality Engineering, 30(3), 389-404. doi:10.1080/08982112.2018.1464657 es_ES
dc.description.references Ghanes, K., Wargon, M., Jouini, O., Jemai, Z., Diakogiannis, A., Hellmann, R., … Koole, G. (2015). Simulation-based optimization of staffing levels in an emergency department. SIMULATION, 91(10), 942-953. doi:10.1177/0037549715606808 es_ES
dc.description.references He, S., Sim, M., & Zhang, M. (2019). Data-Driven Patient Scheduling in Emergency Departments: A Hybrid Robust-Stochastic Approach. Management Science, 65(9), 4123-4140. doi:10.1287/mnsc.2018.3145 es_ES
dc.description.references Huang, D., Bastani, A., Anderson, W., Crabtree, J., Kleiman, S., & Jones, S. (2018). Communication and bed reservation: Decreasing the length of stay for emergency department trauma patients. The American Journal of Emergency Medicine, 36(10), 1874-1879. doi:10.1016/j.ajem.2018.08.021 es_ES
dc.description.references Kaner, M., Gadrich, T., Dror, S., & Marmor, Y. N. (2014). Generating and evaluating simulation scenarios to improve emergency department operations. IIE Transactions on Healthcare Systems Engineering, 4(3), 156-166. doi:10.1080/19488300.2014.938281 es_ES
dc.description.references Lee, E. K., Atallah, H. Y., Wright, M. D., Post, E. T., Thomas, C., Wu, D. T., & Haley, L. L. (2015). Transforming Hospital Emergency Department Workflow and Patient Care. Interfaces, 45(1), 58-82. doi:10.1287/inte.2014.0788 es_ES
dc.description.references Lo, M. D., Rutman, L. E., Migita, R. T., & Woodward, G. A. (2015). Rapid Electronic Provider Documentation Design and Implementation in an Academic Pediatric Emergency Department. Pediatric Emergency Care, 31(11), 798-804. doi:10.1097/pec.0000000000000600 es_ES
dc.description.references Oueida, S., Kotb, Y., Ionescu, S., & Militaru, G. (2019). AMS: A New Platform for System Design and Simulation. International Journal of Simulation Modelling, 18(1), 33-46. doi:10.2507/ijsimm18(1)456 es_ES
dc.description.references Rachuba, S., Knapp, K., Ashton, L., & Pitt, M. (2018). Streamlining pathways for minor injuries in emergency departments through radiographer-led discharge. Operations Research for Health Care, 19, 44-56. doi:10.1016/j.orhc.2018.03.001 es_ES
dc.description.references Romano, E., Guizzi, G., & Chiocca, D. (2015). A decision support tool, implemented in a system dynamics model, to improve the effectiveness in the hospital emergency department. International Journal of Procurement Management, 8(1/2), 141. doi:10.1504/ijpm.2015.066291 es_ES
dc.description.references Ross,, G., Johnson, D., & Mha, M. K. (1997). Evaluation of a critical pathway for stroke. Journal of Osteopathic Medicine, 97(5), 269-269. doi:10.7556/jaoa.1997.97.5.269 es_ES
dc.description.references Ross, A. J., Murrells, T., Kirby, T., Jaye, P., & Anderson, J. E. (2019). An integrated statistical model of Emergency Department length of stay informed by Resilient Health Care principles. Safety Science, 120, 129-136. doi:10.1016/j.ssci.2019.06.018 es_ES
dc.description.references Shin, S. Y., Brun, Y., Balasubramanian, H., Henneman, P. L., & Osterweil, L. J. (2018). Discrete-Event Simulation and Integer Linear Programming for Constraint-Aware Resource Scheduling. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(9), 1578-1593. doi:10.1109/tsmc.2017.2681623 es_ES
dc.description.references Sinreich, D., & Jabali, O. (2007). Staggered work shifts: a way to downsize and restructure an emergency department workforce yet maintain current operational performance. Health Care Management Science, 10(3), 293-308. doi:10.1007/s10729-007-9021-z es_ES
dc.description.references Sinreich, D., Jabali, O., & Dellaert, N. P. (2012). Reducing emergency department waiting times by adjusting work shifts considering patient visits to multiple care providers. IIE Transactions, 44(3), 163-180. doi:10.1080/0740817x.2011.609875 es_ES
dc.description.references Sir, M. Y., Nestler, D., Hellmich, T., Das, D., Laughlin, M. J., Dohlman, M. C., & Pasupathy, K. (2017). Optimization of Multidisciplinary Staffing Improves Patient Experiences at the Mayo Clinic. Interfaces, 47(5), 425-441. doi:10.1287/inte.2017.0912 es_ES
dc.description.references Techar, K., Nguyen, A., Lorenzo, R. M., Yang, S., Thielen, B., Cain-Nielsen, A., … Tignanelli, C. J. (2019). Early Imaging Associated With Improved Survival in Older Patients With Mild Traumatic Brain Injuries. Journal of Surgical Research, 242, 4-10. doi:10.1016/j.jss.2019.04.006 es_ES
dc.description.references Visintin, F., Caprara, C., & Puggelli, F. (2019). Experimental design and simulation applied to a paediatric emergency department: A case study. Computers & Industrial Engineering, 128, 755-781. doi:10.1016/j.cie.2019.01.019 es_ES
dc.description.references Yousefi, M., & Ferreira, R. P. M. (2017). An agent-based simulation combined with group decision-making technique for improving the performance of an emergency department. Brazilian Journal of Medical and Biological Research, 50(5). doi:10.1590/1414-431x20175955 es_ES
dc.description.references Yousefi, M., Yousefi, M., Ferreira, R. P. M., Kim, J. H., & Fogliatto, F. S. (2018). Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments. Artificial Intelligence in Medicine, 84, 23-33. doi:10.1016/j.artmed.2017.10.002 es_ES
dc.description.references Yousefi, M., Yousefi, M., Fogliatto, F. S., Ferreira, R. P. M., & Kim, J. H. (2018). Simulating the behavior of patients who leave a public hospital emergency department without being seen by a physician: a cellular automaton and agent-based framework. Brazilian Journal of Medical and Biological Research, 51(3). doi:10.1590/1414-431x20176961 es_ES
dc.description.references Zeltyn, S., Marmor, Y. N., Mandelbaum, A., Carmeli, B., Greenshpan, O., Mesika, Y., … Basis, F. (2011). Simulation-based models of emergency departments: ACM Transactions on Modeling and Computer Simulation, 21(4), 1-25. doi:10.1145/2000494.2000497 es_ES
dc.description.references Ashour, O. M., & Okudan Kremer, G. E. (2013). A simulation analysis of the impact of FAHP–MAUT triage algorithm on the Emergency Department performance measures. Expert Systems with Applications, 40(1), 177-187. doi:10.1016/j.eswa.2012.07.024 es_ES
dc.description.references Aroua, A., & Abdulnour, G. (2018). Optimization of the emergency department in hospitals using simulation and experimental design: Case study. Procedia Manufacturing, 17, 878-885. doi:10.1016/j.promfg.2018.10.140 es_ES
dc.description.references Abo-Hamad, W., & Arisha, A. (2013). Simulation-based framework to improve patient experience in an emergency department. European Journal of Operational Research, 224(1), 154-166. doi:10.1016/j.ejor.2012.07.028 es_ES
dc.description.references Acuna, J. A., Zayas-Castro, J. L., & Charkhgard, H. (2020). Ambulance allocation optimization model for the overcrowding problem in US emergency departments: A case study in Florida. Socio-Economic Planning Sciences, 71, 100747. doi:10.1016/j.seps.2019.100747 es_ES
dc.description.references Ala, A., & Chen, F. (2019). Alternative mathematical formulation and hybrid meta-heuristics for patient scheduling problem in health care clinics. Neural Computing and Applications, 32(13), 8993-9008. doi:10.1007/s00521-019-04405-4 es_ES
dc.description.references Yousefi, M., & Yousefi, M. (2019). Human resource allocation in an emergency department. Kybernetes, 49(3), 779-796. doi:10.1108/k-12-2018-0675 es_ES
dc.description.references Duguay, C., & Chetouane, F. (2007). Modeling and Improving Emergency Department Systems using Discrete Event Simulation. SIMULATION, 83(4), 311-320. doi:10.1177/0037549707083111 es_ES
dc.description.references Ibrahim, I. M., Liong, C.-Y., Bakar, S. A., Ahmad, N., & Najmuddin, A. F. (2018). Estimating optimal resource capacities in emergency department. Indian Journal of Public Health Research & Development, 9(11), 1558. doi:10.5958/0976-5506.2018.01670.4 es_ES
dc.description.references Joshi, V., Lim, C., & Teng, S. G. (2016). Simulation Study: Improvement for Non-Urgent Patient Processes in the Emergency Department. Engineering Management Journal, 28(3), 145-157. doi:10.1080/10429247.2016.1199746 es_ES
dc.description.references Kaushal, A., Zhao, Y., Peng, Q., Strome, T., Weldon, E., Zhang, M., & Chochinov, A. (2015). Evaluation of fast track strategies using agent-based simulation modeling to reduce waiting time in a hospital emergency department. Socio-Economic Planning Sciences, 50, 18-31. doi:10.1016/j.seps.2015.02.002 es_ES
dc.description.references Lamprecht, J., Kolisch, R., & Pförringer, D. (2019). The impact of medical documentation assistants on process performance measures in a surgical emergency department. European Journal of Medical Research, 24(1). doi:10.1186/s40001-019-0390-9 es_ES
dc.description.references Wang, J., Li, J., Tussey, K., & Ross, K. (2012). Reducing Length of Stay in Emergency Department: A Simulation Study at a Community Hospital. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 42(6), 1314-1322. doi:10.1109/tsmca.2012.2210204 es_ES
dc.description.references Yang, K. K., Lam, S. S. W., Low, J. M. W., & Ong, M. E. H. (2016). Managing emergency department crowding through improved triaging and resource allocation. Operations Research for Health Care, 10, 13-22. doi:10.1016/j.orhc.2016.05.001 es_ES
dc.description.references Hogan, B., Rasche, C., & von Reinersdorff, A. B. (2012). The First View Concept. European Journal of Emergency Medicine, 19(3), 136-139. doi:10.1097/mej.0b013e32834bbd93 es_ES
dc.description.references Ieraci, S., Digiusto, E., Sonntag, P., Dann, L., & Fox, D. (2008). Streaming by case complexity: Evaluation of a model for emergency department Fast Track. Emergency Medicine Australasia, 20(3), 241-249. doi:10.1111/j.1742-6723.2008.01087.x es_ES
dc.description.references Improta, G., Romano, M., Di Cicco, M. V., Ferraro, A., Borrelli, A., Verdoliva, C., … Cesarelli, M. (2018). Lean thinking to improve emergency department throughput at AORN Cardarelli hospital. BMC Health Services Research, 18(1). doi:10.1186/s12913-018-3654-0 es_ES
dc.description.references Piggott, Z., Weldon, E., Strome, T., & Chochinov, A. (2011). Application of Lean principles to improve early cardiac care in the emergency department. CJEM, 13(05), 325-332. doi:10.2310/8000.2011.110284 es_ES
dc.description.references Rees, G. H. (2014). Organisational readiness and Lean Thinking implementation: Findings from three emergency department case studies in New Zealand. Health Services Management Research, 27(1-2), 1-9. doi:10.1177/0951484814532624 es_ES
dc.description.references Rutman, L. E., Migita, R., Woodward, G. A., & Klein, E. J. (2015). Creating a Leaner Pediatric Emergency Department. Pediatric Emergency Care, 31(6), 395-398. doi:10.1097/pec.0000000000000455 es_ES
dc.description.references Vashi, A. A., Sheikhi, F. H., Nashton, L. A., Ellman, J., Rajagopal, P., & Asch, S. M. (2018). Applying Lean Principles to Reduce Wait Times in a VA Emergency Department. Military Medicine, 184(1-2), e169-e178. doi:10.1093/milmed/usy165 es_ES
dc.description.references White, B. A., Yun, B. J., Lev, M. H., & Raja, A. S. (2017). Applying Systems Engineering Reduces Radiology Transport Cycle Times in the Emergency Department. Western Journal of Emergency Medicine, 18(3), 410-418. doi:10.5811/westjem.2016.12.32457 es_ES
dc.description.references Bordoloi, S. K., & Beach, K. (2007). Improving operational efficiency in an inner-city emergency department. Health Services Management Research, 20(2), 105-112. doi:10.1258/095148407780744660 es_ES
dc.description.references Meng, F., Liang Teow, K., Kheong Ooi, C., Hoon Heng, B., & Yian Tay, S. (2017). Minimization of the coefficient of variation for patient waiting system governed by a generic maximum waiting policy. Journal of Industrial & Management Optimization, 13(4), 1759-1770. doi:10.3934/jimo.2017017 es_ES
dc.description.references Leo, G., Lodi, A., Tubertini, P., & Di Martino, M. (2016). Emergency Department Management in Lazio, Italy. Omega, 58, 128-138. doi:10.1016/j.omega.2015.05.007 es_ES
dc.description.references Nezamoddini, N., & Khasawneh, M. T. (2016). Modeling and optimization of resources in multi-emergency department settings with patient transfer. Operations Research for Health Care, 10, 23-34. doi:10.1016/j.orhc.2016.06.001 es_ES
dc.description.references Rothwell, S., McIltrot, K., & Khouri-Stevens, Z. (2018). Addressing Emergency Department Issues Using Advanced Practice in Saudi Arabia. The Journal for Nurse Practitioners, 14(2), e41-e44. doi:10.1016/j.nurpra.2017.11.006 es_ES
dc.description.references Spaite, D. W., Bartholomeaux, F., Guisto, J., Lindberg, E., Hull, B., Eyherabide, A., … Conroy, C. (2002). Rapid process redesign in a university-based emergency department: Decreasing waiting time intervals and improving patient satisfaction. Annals of Emergency Medicine, 39(2), 168-177. doi:10.1067/mem.2002.121215 es_ES
dc.description.references Doupe, M. B., Chateau, D., Chochinov, A., Weber, E., Enns, J. E., Derksen, S., … Soodeen, R.-A. (2018). Comparing the Effect of Throughput and Output Factors on Emergency Department Crowding: A Retrospective Observational Cohort Study. Annals of Emergency Medicine, 72(4), 410-419. doi:10.1016/j.annemergmed.2018.04.001 es_ES
dc.description.references Eiset, A. H., Kirkegaard, H., & Erlandsen, M. (2019). Crowding in the emergency department in the absence of boarding – a transition regression model to predict departures and waiting time. BMC Medical Research Methodology, 19(1). doi:10.1186/s12874-019-0710-3 es_ES
dc.description.references Fulbrook, P., Jessup, M., & Kinnear, F. (2017). Implementation and evaluation of a ‘Navigator’ role to improve emergency department throughput. Australasian Emergency Nursing Journal, 20(3), 114-121. doi:10.1016/j.aenj.2017.05.004 es_ES
dc.description.references Popovich, M. A., Boyd, C., Dachenhaus, T., & Kusler, D. (2012). Improving Stable Patient Flow through the Emergency Department by Utilizing Evidence-Based Practice: One Hospital’s Journey. Journal of Emergency Nursing, 38(5), 474-478. doi:10.1016/j.jen.2011.03.006 es_ES
dc.description.references Andersen, A. R., Nielsen, B. F., Reinhardt, L. B., & Stidsen, T. R. (2019). Staff optimization for time-dependent acute patient flow. European Journal of Operational Research, 272(1), 94-105. doi:10.1016/j.ejor.2018.06.015 es_ES
dc.description.references Zhao, Y., Peng, Q., Strome, T., Weldon, E., Zhang, M., & Chochinov, A. (2015). Bottleneck detection for improvement of Emergency Department efficiency. Business Process Management Journal, 21(3), 564-585. doi:10.1108/bpmj-06-2014-0060 es_ES
dc.description.references Azadeh, A., Hosseinabadi Farahani, M., Torabzadeh, S., & Baghersad, M. (2014). Scheduling prioritized patients in emergency department laboratories. Computer Methods and Programs in Biomedicine, 117(2), 61-70. doi:10.1016/j.cmpb.2014.08.006 es_ES
dc.description.references Bal, A., Ceylan, C., & Taçoğlu, C. (2017). Using value stream mapping and discrete event simulation to improve efficiency of emergency departments. International Journal of Healthcare Management, 10(3), 196-206. doi:10.1080/20479700.2017.1304323 es_ES
dc.description.references Daldoul, D., Nouaouri, I., Bouchriha, H., & Allaoui, H. (2018). A stochastic model to minimize patient waiting time in an emergency department. Operations Research for Health Care, 18, 16-25. doi:10.1016/j.orhc.2018.01.008 es_ES
dc.description.references Diefenbach, M., & Kozan, E. (2011). Effects of bed configurations at a hospital emergency department. Journal of Simulation, 5(1), 44-57. doi:10.1057/jos.2010.1 es_ES
dc.description.references EL-Rifai, O., Garaix, T., Augusto, V., & Xie, X. (2014). A stochastic optimization model for shift scheduling in emergency departments. Health Care Management Science, 18(3), 289-302. doi:10.1007/s10729-014-9300-4 es_ES
dc.description.references Gartner, D., & Padman, R. (2019). Machine learning for healthcare behavioural OR: Addressing waiting time perceptions in emergency care. Journal of the Operational Research Society, 71(7), 1087-1101. doi:10.1080/01605682.2019.1571005 es_ES
dc.description.references González, J., Ferrer, J.-C., Cataldo, A., & Rojas, L. (2018). A proactive transfer policy for critical patient flow management. Health Care Management Science, 22(2), 287-303. doi:10.1007/s10729-018-9437-7 es_ES
dc.description.references Izady, N., & Worthington, D. (2012). Setting staffing requirements for time dependent queueing networks: The case of accident and emergency departments. European Journal of Operational Research, 219(3), 531-540. doi:10.1016/j.ejor.2011.10.040 es_ES
dc.description.references Kuo, Y. H. (2014). Integrating simulation with simulated annealing for scheduling physicians in an understaffed emergency department. HKIE Transactions, 21(4), 253-261. doi:10.1080/1023697x.2014.970748 es_ES
dc.description.references Lau, H., Dadich, A., Nakandala, D., Evans, H., & Zhao, L. (2018). Development of a cost-optimization model to reduce bottlenecks: A health service case study. Expert Systems, 35(6), e12294. doi:10.1111/exsy.12294 es_ES
dc.description.references Martínez, P., Martínez, J., Nuño, P., & Cavazos, J. (2015). Mejora en el Tiempo de Atención al Paciente en una Unidad de Urgencias Mediante la Aplicación de Manufactura Esbelta. Información tecnológica, 26(6), 187-198. doi:10.4067/s0718-07642015000600019 es_ES
dc.description.references Mazzocato, P., Holden, R. J., Brommels, M., Aronsson, H., Bäckman, U., Elg, M., & Thor, J. (2012). How does lean work in emergency care? A case study of a lean-inspired intervention at the Astrid Lindgren Children’s hospital, Stockholm, Sweden. BMC Health Services Research, 12(1). doi:10.1186/1472-6963-12-28 es_ES
dc.description.references Ben Othman, S., Zgaya, H., Hammadi, S., Quilliot, A., Martinot, A., & Renard, J.-M. (2016). Agents endowed with uncertainty management behaviors to solve a multiskill healthcare task scheduling. Journal of Biomedical Informatics, 64, 25-43. doi:10.1016/j.jbi.2016.08.011 es_ES
dc.description.references Othman, S. B., & Hammadi, S. (2017). A Multi-criteria Optimization Approach to Health Care Tasks Scheduling Under Resources Constraints. International Journal of Computational Intelligence Systems, 10(1), 419. doi:10.2991/ijcis.2017.10.1.29 es_ES
dc.description.references Perry, A. (2020). Code Critical: Improving Care Delivery for Critically Ill Patients in the Emergency Department. Journal of Emergency Nursing, 46(2), 199-204. doi:10.1016/j.jen.2019.04.001 es_ES
dc.description.references Stephens, A. S., & Broome, R. A. (2018). Impact of emergency department occupancy on waiting times, rates of admission and representation, and length of stay when hospitalised: A data linkage study. Emergency Medicine Australasia, 31(4), 555-561. doi:10.1111/1742-6723.13204 es_ES
dc.description.references Umble, M., & Umble, E. J. (2006). Utilizing buffer management to improve performance in a healthcare environment. European Journal of Operational Research, 174(2), 1060-1075. doi:10.1016/j.ejor.2005.02.059 es_ES
dc.description.references Xu, K., & Chan, C. W. (2016). Using Future Information to Reduce Waiting Times in the Emergency Department via Diversion. Manufacturing & Service Operations Management, 18(3), 314-331. doi:10.1287/msom.2015.0573 es_ES
dc.description.references Zeinali, F., Mahootchi, M., & Sepehri, M. M. (2015). Resource planning in the emergency departments: A simulation-based metamodeling approach. Simulation Modelling Practice and Theory, 53, 123-138. doi:10.1016/j.simpat.2015.02.002 es_ES
dc.description.references Ahalt, V., Argon, N. T., Ziya, S., Strickler, J., & Mehrotra, A. (2016). Comparison of emergency department crowding scores: a discrete-event simulation approach. Health Care Management Science, 21(1), 144-155. doi:10.1007/s10729-016-9385-z es_ES
dc.description.references Fitzgerald, J. A., Eljiz, K., Dadich, A., Sloan, T., & Hayes, K. J. (2011). Health services innovation: evaluating process changes to improve patient flow. International Journal of Healthcare Technology and Management, 12(3/4), 280. doi:10.1504/ijhtm.2011.040479 es_ES
dc.description.references Peck, J. S., Benneyan, J. C., Nightingale, D. J., & Gaehde, S. A. (2014). Characterizing the value of predictive analytics in facilitating hospital patient flow. IIE Transactions on Healthcare Systems Engineering, 4(3), 135-143. doi:10.1080/19488300.2014.930765 es_ES
dc.description.references Aaronson, E., Mort, E., & Soghoian, S. (2017). Mapping the process of emergency care at a teaching hospital in Ghana. Healthcare, 5(4), 214-220. doi:10.1016/j.hjdsi.2016.12.001 es_ES
dc.description.references Al Owad, A., Samaranayake, P., Karim, A., & Ahsan, K. B. (2018). An integrated lean methodology for improving patient flow in an emergency department – case study of a Saudi Arabian hospital. Production Planning & Control, 29(13), 1058-1081. doi:10.1080/09537287.2018.1511870 es_ES
dc.description.references Vose, C., Reichard, C., Pool, S., Snyder, M., & Burmeister, D. (2014). Using LEAN to Improve a Segment of Emergency Department Flow. JONA: The Journal of Nursing Administration, 44(11), 558-563. doi:10.1097/nna.0000000000000098 es_ES
dc.description.references Wang, X. (2013). Emergency Department Staffing: A Separated Continuous Linear Programming Approach. Mathematical Problems in Engineering, 2013, 1-8. doi:10.1155/2013/680152 es_ES
dc.description.references Aldarrab, A., Fernandes, C., Velianou, J., Natarajan, M., Zimmerman, R., Smith, R., … Pickering, J. (2006). Application of Lean Six Sigma for Patients Presenting with ST-Elevation Myocardial Infarction: The Hamilton Health Sciences Experience. Healthcare Quarterly, 9(1), 56-61. doi:10.12927/hcq.2006.17905 es_ES
dc.description.references Beck, M. J., Okerblom, D., Kumar, A., Bandyopadhyay, S., & Scalzi, L. V. (2016). Lean intervention improves patient discharge times, improves emergency department throughput and reduces congestion. Hospital Practice, 44(5), 252-259. doi:10.1080/21548331.2016.1254559 es_ES
dc.description.references El-Rifai, O., Garaix, T., & Xie, X. (2016). Proactive on-call scheduling during a seasonal epidemic. Operations Research for Health Care, 8, 53-61. doi:10.1016/j.orhc.2015.07.001 es_ES
dc.description.references Garrett, J. S., Berry, C., Wong, H., Qin, H., & Kline, J. A. (2018). The effect of vertical split-flow patient management on emergency department throughput and efficiency. The American Journal of Emergency Medicine, 36(9), 1581-1584. doi:10.1016/j.ajem.2018.01.035 es_ES
dc.description.references Hussein, N. A., Abdelmaguid, T. F., Tawfik, B. S., & Ahmed, N. G. S. (2017). Mitigating overcrowding in emergency departments using Six Sigma and simulation: A case study in Egypt. Operations Research for Health Care, 15, 1-12. doi:10.1016/j.orhc.2017.06.003 es_ES
dc.description.references Landa, P., Sonnessa, M., Tànfani, E., & Testi, A. (2016). Multiobjective bed management considering emergency and elective patient flows. International Transactions in Operational Research, 25(1), 91-110. doi:10.1111/itor.12360 es_ES
dc.description.references Peltan, I. D., Bledsoe, J. R., Oniki, T. A., Sorensen, J., Jephson, A. R., Allen, T. L., … Brown, S. M. (2019). Emergency Department Crowding Is Associated With Delayed Antibiotics for Sepsis. Annals of Emergency Medicine, 73(4), 345-355. doi:10.1016/j.annemergmed.2018.10.007 es_ES
dc.description.references Khanna, S., Sier, D., Boyle, J., & Zeitz, K. (2016). Discharge timeliness and its impact on hospital crowding and emergency department flow performance. Emergency Medicine Australasia, 28(2), 164-170. doi:10.1111/1742-6723.12543 es_ES
dc.description.references Vile, J. L., Allkins, E., Frankish, J., Garland, S., Mizen, P., & Williams, J. E. (2017). Modelling patient flow in an emergency department to better understand demand management strategies. Journal of Simulation, 11(2), 115-127. doi:10.1057/s41273-016-0004-2 es_ES
dc.description.references Matt, D. T., Arcidiacono, G., & Rauch, E. (2018). Applying Lean to Healthcare Delivery Processes - a Case-based Research. International Journal on Advanced Science, Engineering and Information Technology, 8(1), 123. doi:10.18517/ijaseit.8.1.4965 es_ES
dc.description.references Jackson, G., & Andrew, J. (1996). Using a Multidisciplinary CQI Approach to Reduce ER-to-Floor Admission Time. Journal For Healthcare Quality, 18(3), 18-21. doi:10.1111/j.1945-1474.1996.tb00838.x es_ES
dc.description.references Markel, K. N., & Marion, S. A. (1996). CQI: Improving the time to thrombolytic therapy for patients with acute myocardial infarction in the emergency department. The Journal of Emergency Medicine, 14(6), 685-689. doi:10.1016/s0736-4679(96)00184-9 es_ES
dc.description.references Courtad, B., Baker, K., Magazine, M., & Polak, G. (2017). Minimizing flowtime for paired tasks. European Journal of Operational Research, 259(3), 818-828. doi:10.1016/j.ejor.2016.10.012 es_ES
dc.description.references Iyer, S., Reeves, S., Varadarajan, K., & Alessandrini, E. (2011). The Acute Care Model: A New Framework for Quality Care in Emergency Medicine. Clinical Pediatric Emergency Medicine, 12(2), 91-101. doi:10.1016/j.cpem.2011.04.002 es_ES
dc.description.references Mohan, S., Nandi, D., Stephens, P., MʼFarrej, M., Vogel, R. L., & Bonafide, C. P. (2018). Implementation of a Clinical Pathway for Chest Pain in a Pediatric Emergency Department. Pediatric Emergency Care, 34(11), 778-782. doi:10.1097/pec.0000000000000861 es_ES
dc.description.references Ollivere, B., Rollins, K., Brankin, R., Wood, M., Brammar, T., & Wimhurst, J. (2012). Optimising fast track care for proximal femoral fracture patients using modified early warning score. The Annals of The Royal College of Surgeons of England, 94(4), 267-271. doi:10.1308/003588412x13171221501744 es_ES
dc.description.references Azadeh, A., Rouhollah, F., Davoudpour, F., & Mohammadfam, I. (2013). Fuzzy modelling and simulation of an emergency department for improvement of nursing schedules with noisy and uncertain inputs. International Journal of Services and Operations Management, 15(1), 58. doi:10.1504/ijsom.2013.053255 es_ES
dc.description.references Brenner, S., Zeng, Z., Liu, Y., Wang, J., Li, J., & Howard, P. K. (2010). Modeling and Analysis of the Emergency Department at University of Kentucky Chandler Hospital Using Simulations. Journal of Emergency Nursing, 36(4), 303-310. doi:10.1016/j.jen.2009.07.018 es_ES
dc.description.references Guo, H., Gao, S., Tsui, K.-L., & Niu, T. (2017). Simulation Optimization for Medical Staff Configuration at Emergency Department in Hong Kong. IEEE Transactions on Automation Science and Engineering, 14(4), 1655-1665. doi:10.1109/tase.2017.2697899 es_ES
dc.description.references Hajjarsaraei, H., Shirazi, B., & Rezaeian, J. (2018). Scenario-based analysis of fast track strategy optimization on emergency department using integrated safety simulation. Safety Science, 107, 9-21. doi:10.1016/j.ssci.2018.03.025 es_ES
dc.description.references Huang, Y., & Klassen, K. J. (2016). Using Six Sigma, Lean, and Simulation to Improve the Phlebotomy Process. Quality Management Journal, 23(2), 6-21. doi:10.1080/10686967.2016.11918468 es_ES
dc.description.references Shirazi, B. (2016). Fast track system optimization of emergency departments: Insights from a computer simulation study. International Journal of Modeling, Simulation, and Scientific Computing, 07(03), 1650015. doi:10.1142/s179396231650015x es_ES
dc.description.references Stanton, P., Gough, R., Ballardie, R., Bartram, T., Bamber, G. J., & Sohal, A. (2014). Implementing lean management/Six Sigma in hospitals: beyond empowerment or work intensification? The International Journal of Human Resource Management, 25(21), 2926-2940. doi:10.1080/09585192.2014.963138 es_ES
dc.description.references Weimann, E. (2018). Lean-Management und kontinuierlicher Verbesserungsprozess im Krankenhaus. Der Pneumologe, 15(3), 202-208. doi:10.1007/s10405-018-0177-7 es_ES
dc.description.references Hitti, E., Hadid, D., Tamim, H., Al Hariri, M., & El Sayed, M. (2020). Left without being seen in a hybrid point of service collection model emergency department. The American Journal of Emergency Medicine, 38(3), 497-502. doi:10.1016/j.ajem.2019.05.034 es_ES
dc.description.references Jiang, S., Chin, K.-S., & Tsui, K. L. (2018). A universal deep learning approach for modeling the flow of patients under different severities. Computer Methods and Programs in Biomedicine, 154, 191-203. doi:10.1016/j.cmpb.2017.11.003 es_ES
dc.description.references Welch, S. J., & Allen, T. L. (2006). Data-driven quality improvement in the Emergency Department at a level one trauma and tertiary care hospital. The Journal of Emergency Medicine, 30(3), 269-276. doi:10.1016/j.jemermed.2005.07.007 es_ES
dc.description.references Schwab, R. A., Del Sorbo, S. M., Cunningham, M. R., Craven, K., & Watson, W. A. (1999). Using Statistical Process Control to Demonstrate the Effect of Operational Interventions on Quality Indicators in the Emergency Department. Journal For Healthcare Quality, 21(4), 38-41. doi:10.1111/j.1945-1474.1999.tb00975.x es_ES
dc.description.references Nuñez-Perez, N., Ortíz-Barrios, M., McClean, S., Salas-Navarro, K., Jimenez-Delgado, G., & Castillo-Zea, A. (2017). Discrete-Event Simulation to Reduce Waiting Time in Accident and Emergency Departments: A Case Study in a District General Clinic. Lecture Notes in Computer Science, 352-363. doi:10.1007/978-3-319-67585-5_37 es_ES
dc.description.references Troncoso-Palacio, A., Neira-Rodado, D., Ortíz-Barrios, M., Jiménez-Delgado, G., & Hernández-Palma, H. (2018). Using Discrete-Event-Simulation for Improving Operational Efficiency in Laboratories: A Case Study in Pharmaceutical Industry. Advances in Swarm Intelligence, 440-451. doi:10.1007/978-3-319-93818-9_42 es_ES
dc.description.references Ortiz-Barrios, M., Pancardo, P., Jiménez-Delgado, G., & De Ávila-Villalobos, J. (2019). Applying Multi-phase DES Approach for Modelling the Patient Journey Through Accident and Emergency Departments. Lecture Notes in Computer Science, 87-100. doi:10.1007/978-3-030-22219-2_7 es_ES
dc.description.references Ortiz, M. A., McClean, S., Nugent, C. D., & Castillo, A. (2016). Reducing Appointment Lead-Time in an Outpatient Department of Gynecology and Obstetrics Through Discrete-Event Simulation: A Case Study. Lecture Notes in Computer Science, 274-285. doi:10.1007/978-3-319-48746-5_28 es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES


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