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
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
Emergency Department Quality Improvement: Transforming the Delivery of Carehttps://www.healthcatalyst.com/insights/emergency-department-quality-improvement-transforming-delivery-care
[+]
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
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
Emergency Department Quality Improvement: Transforming the Delivery of Carehttps://www.healthcatalyst.com/insights/emergency-department-quality-improvement-transforming-delivery-care
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Yousefi, M., & Yousefi, M. (2019). Human resource allocation in an emergency department. Kybernetes, 49(3), 779-796. doi:10.1108/k-12-2018-0675
Duguay, C., & Chetouane, F. (2007). Modeling and Improving Emergency Department Systems using Discrete Event Simulation. SIMULATION, 83(4), 311-320. doi:10.1177/0037549707083111
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Wang, X. (2013). Emergency Department Staffing: A Separated Continuous Linear Programming Approach. Mathematical Problems in Engineering, 2013, 1-8. doi:10.1155/2013/680152
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Weimann, E. (2018). Lean-Management und kontinuierlicher Verbesserungsprozess im Krankenhaus. Der Pneumologe, 15(3), 202-208. doi:10.1007/s10405-018-0177-7
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
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
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
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
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
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
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
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
[-]
Ortíz-Barrios, Miguel Angel
