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Decades Trend of Emergency Department System Operations

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 297))

Abstract

Emergency services are meant to ensure the timely delivery of essential healthcare services to people using complex systems. If emergency services use real-time patient information to select the most suitable emergency option, it will allow the service provider to more quickly conduct a detailed physical examination to diagnose the problem and to determine a treatment plan that will suit the patient. Emergency departments offer various services and have several components that are conducted under complex management. This study examined previous research on engineering systems and the evaluation of the quality of healthcare systems. These studies considered the level of patient satisfaction and investigated how healthcare is influenced by operational management. The research also indicated that real-time data are very helpful for mangers in emergency departments to help them make appropriate decisions. This finding implies that patient satisfaction can be ensured through the extraction of data about the issues related to proper, operational, and effective management. Patient satisfaction and the quality of services and care delivered can be enhanced to improve the patient’s overall experience by using development strategies and quality evaluation in EDs. The previous research conducted on the management and processes of emergency departments was systematically reviewed and classified. This study reviewed research conducted between 2000 and 2019 to understand how emergency departments used processes, addressed issues, and resolved issues when considering the patient in an ideal healthcare setting with a high standard of operation management. Emergency services are significant for everyone because anyone may need these services at any time. This study uses the data from the last 20 years to investigate the methods employed during that time in emergency department operations.

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References

  1. Almozayen, N.A., Othman, M.K.B., Gani, A.B., Alharethi, S.Z.: Data mining techniques: a systematic mapping review. In: Saeed, F., Gazem, N., Patnaik, S., Saed Balaid, A., Mohammed, F. (eds.) Recent Trends in Information and Communication Technology. IRICT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 5. Springer, Cham (2018)

    Google Scholar 

  2. Alharethi, S., Gani, A., Othman, M.K.: Emergency departments. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 887. Springer, Cham (2019)

    Google Scholar 

  3. Zayed, S.B., Gani, A.B., Othman, M.K.: System Reengineering in Healthcare: Application for Hospital Emergency Departments. Springer, Berlin (2018)

    Google Scholar 

  4. Hagquist, C., Stenbeck, M.: Goodness of fit in regression analysis—R 2 and G 2 reconsidered. Qual. Quant. 32(3), 229–245 (1998)

    Article  Google Scholar 

  5. Merkle, J.F.: Computer simulation: a methodology to improve the efficiency in the Brooke Army Medical Center family care clinic. J. Healthc. Manage. 47(1), 58 (2002)

    MathSciNet  Google Scholar 

  6. De Angelis, V., Felici, G., Impelluso, P.: Integrating simulation and optimisation in health care centre management. Eur. J. Oper. Res. 150(1), 101–114 (2003)

    Article  MATH  Google Scholar 

  7. Al-Jahdali, H.H., Al-Omar, A.M., Al-Moamary, M.S., Al-Duhaim, A.S., Al-Hodeib, A.S., Hassan, I.S., Al-Rabegi, A.M.: Implementation of the national asthma management guidelines in the emergency. Saudi Med. J. 25(9), 1208–1211 (2004)

    Google Scholar 

  8. Wang, Q.: Modeling and analysis of high risk patient queues. Eur. J. Oper. Res. 155(2), 502–515 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  9. Komashie, A., Mousavi, A.: Modeling emergency departments using discrete event simulation techniques. In: Proceedings of the Winter Simulation Conference, 4 Dec 2005, 5 p. IEEE (2005)

    Google Scholar 

  10. Ruohonen, T., Neittaanmaki, P., Teittinen, J.: Simulation model for improving the operation of the emergency department of special health care. In: Proceedings of the 2006 Winter Simulation Conference, 3 Dec 2006, pp. 453–458. IEEE (2006)

    Google Scholar 

  11. Komashie, A., Mousavi, A., Gore, J.: Quality management in healthcare and industry: a comparative review and emerging themes. J. Manage. Hist. 13(4), 359–370 (2007)

    Google Scholar 

  12. Singer, M., Donoso, P.: Internal supply chain management in the Chilean sawmill industry. Int. J. Oper. Prod. Manage. 27(5), 524–541 (2007)

    Article  Google Scholar 

  13. Oddoye, J.P., Yaghoobi, M.A., Tamiz, M., Jones, D.F., Schmidt, P.: A multi-objective model to determine efficient resource levels in a medical assessment unit. J. Oper. Res. Soc. 58(12), 1563–1573 (2007)

    Article  Google Scholar 

  14. Rehmani, R., Norain, A.: Trends in emergency department utilization in a hospital in the Eastern region of Saudi Arabia. Saudi Med. J. 28(2), 236 (2007)

    Google Scholar 

  15. Duguay, C., Chetouane, F.: Modeling and improving emergency department systems using discrete event simulation. Simulation 83(4), 311–320 (2007)

    Article  Google Scholar 

  16. Baumgartner, E.A., Belson, M., Rubin, C., Patel, M.: Hypothermia and other cold-related morbidity emergency department visits: United States, 1995–2004. Wilderness Environ. Med. 19(4), 233–237 (2008)

    Article  Google Scholar 

  17. Moskop, J.C., Sklar, D.P., Geiderman, J.M., Schears, R.M., Bookman, K.J.: Emergency department crowding, part 1—concept, causes, and moral consequences. Ann. Emerg. Med. 53(5), 605–611 (2009)

    Article  Google Scholar 

  18. Hoot, N.R., LeBlanc, L.J., Jones, I., Levin, S.R., Zhou, C., Gadd, C.S., Aronsky, D.: Forecasting emergency department crowding: a discrete event simulation. Ann. Emerg. Med. 52(2), 116–125 (2008)

    Article  Google Scholar 

  19. Puente, J., Gómez, A., Fernández, I., Priore, P.: Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms. Comput. Ind. Eng. 56(4), 1232–1242 (2009)

    Article  Google Scholar 

  20. Kolker, A.: Process modeling of emergency department patient flow: effect of patient length of stay on ED diversion. J. Med. Syst. 32(5), 389–401 (2008)

    Google Scholar 

  21. Hoot, N.R., Aronsky, D.: Systematic review of emergency department crowding: causes, effects, and solutions. Ann. Emerg. Med. 52(2), 126–136 (2008)

    Article  Google Scholar 

  22. McCarthy, M.L., Zeger, S.L., Ding, R., Levin, S.R., Desmond, J.S., Lee, J., Aronsky, D.: Crowding delays treatment and lengthens emergency department length of stay, even among high-acuity patients. Ann. Emerg. Med. 54(4), 492–503 (2009)

    Article  Google Scholar 

  23. Al-Kattan, I., Abboud, B.: Disaster recovery plan development for the emergency department—case study. Public Adm. Manage. 14(1) (2009)

    Google Scholar 

  24. Darabi, H., Galanter, W.L., Lin, J.Y., Buy, U., Sampath, R.: Modeling and integration of hospital information systems with Petri nets. In: 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics, 22 July 2009, pp. 190–195. IEEE (2009)

    Google Scholar 

  25. Horwitz, L.I., Bradley, E.H.: Percentage of US emergency department patients seen within the recommended triage time: 1997 to 2006. Arch. Intern. Med. 169(20), 1857–1865 (2009)

    Article  Google Scholar 

  26. Ahmed, M.A., Alkhamis, T.M.: Simulation optimization for an emergency department healthcare unit in Kuwait. Eur. J. Oper. Res. 198, 936–942 (2009)

    Article  MATH  Google Scholar 

  27. Horwitz, L.I., Green, J., Bradley, E.H.: US emergency department performance on wait time and length of visit. Ann. Emerg. Med. 55(2), 133–141 (2010)

    Article  Google Scholar 

  28. Skruch, P., Mitkowski, W.: Modelling and simulation of the shape optimization problems. Model. Simul. Optim. 1, 187–208 (2010)

    Google Scholar 

  29. Cochran, J.K., Broyles, J.R.: Developing nonlinear queuing regressions to increase emergency department patient safety: approximating reneging with balking. Comput. Ind. Eng. 59(3), 378–386 (2010)

    Article  Google Scholar 

  30. Rutherford, K.H.: Efficacy of emergency department fast tracks in relieving overcrowding. Doctoral dissertation, University of Phoenix.

    Google Scholar 

  31. Güneş, E.D., Yaman, H.: Health network mergers and hospital re-planning. J. Oper. Res. Soc. 61(2), 275–283 (2010)

    Article  MATH  Google Scholar 

  32. Al-Omar, B., Al-Ghanim, S.: Utilization of hospital resources: a survey-based study of Saudi hospitals in Riyadh City. Clin. Gov. Int. J. 15(2), 134–141 (2010)

    Google Scholar 

  33. Drazen, E.: Using tracking tools to improve patient flow in hospitals [online] (April 2011)

    Google Scholar 

  34. Malyon, R., Zhao, Y., Oates, B.: Differences in the cost of admitted patient care for Indigenous people and people from remote locations. Aust. Health Rev. 37(1), 26–31 (2013)

    Google Scholar 

  35. Shin, D.Y., Menachemi, N., Diana, M., Kazley, A.S., Ford, E.W., Allen, R.L.: Payer mix and EHR adoption in hospitals/practitioner application. J. Healthc. Manage. 57(6), 435–448; discussion 449–450 (2012)

    Google Scholar 

  36. Salmon, R.B., Sanderson, M.I., Walters, B.A., Kennedy, K., Flores, R.C., Muney, A.M.: innovation profile: a collaborative accountable care model in three practices showed promising early results on costs and quality of care. Health Aff. 31(11), 2379–2387 (2012)

    Google Scholar 

  37. Rosenberg, C.N., Peele, P., Keyser, D., McAnallen, S., Holder, D.: Results from a patient-centered medical home pilot at UPMC health plan hold lessons for broader adoption of the model. Health Aff. 31(11), 2423–2431 (2012)

    Google Scholar 

  38. Takach, M.: About half of the states are implementing patient-centered medical homes for their medicaid populations. Health Aff. 31(11), 2432–2440 (2012)

    Google Scholar 

  39. Chesluk, B.J., Bernabeo, E., Hess, B., Lynn, L.A., Reddy, S., Holmboe, E.S.: Innovation profile: a new tool to give hospitalists feedback to improve interprofessional teamwork and advance patient care. Health Aff. 31(11), 2485–2492 (2012)

    Google Scholar 

  40. Baugh, C.W., Venkatesh, A.K., Hilton, J.A., Samuel, P.A., Schuur, J.D., Bohan, J.S.: Making greater use of dedicated hospital observation units for many short-stay patients could save $3.1 billion a year. Health Aff. 31(10), 2314–2323 (2012)

    Google Scholar 

  41. Esain, A.E., Williams, S.J., Gakhal, S., Caley, L., Cooke, M.W.: Healthcare quality improvement—policy implications and practicalities. Int. J. Health Care Qual. Assur. 25(7), 565–581 (2012)

    Article  Google Scholar 

  42. Weissman, J.S., Bailit, M., D’Andrea, G., Rosenthal, M.B.: The design and application of shared savings programs: lessons from early adopters. Health Aff. 31(9), 1959–1968 (2012)

    Google Scholar 

  43. Mehrotra, A., Lave, J.R.: Visits to retail clinics grew fourfold from 2007 to 2009, although their share of overall outpatient visits remains low. Health Aff. 31(9), 2123–2129 (2012)

    Google Scholar 

  44. Ellis, P., Sandy, L.G., Larson, A.J., Stevens, S.L.: Wide variation in episode costs within a commercially insured population highlights potential to improve the efficiency of care. Health Aff. 31(9), 2084–2093 (2012)

    Google Scholar 

  45. Jiang, L., Xu, B., Fang, L., Cai, H.: A ubiquitous clinic data accessing method based on resource model. In: 2012 IEEE ninth international conference on e-business engineering, 9 Sept 2012, pp 221–226. IEEE (2012)

    Google Scholar 

  46. Murad, A.A.: Benchmarking the location of health centers at Jeddah city: a GIS approach. Benchmarking Int. J. 19(1), 93–108 (2012)

    Google Scholar 

  47. Stone-Griffith, S., Englebright, J.D., Cheung, D., Korwek, K.M., Perlin, J.B.: Data-driven process and operational improvement in the emergency department: the ED dashboard and reporting application. J. Healthc. Manage. 57(3), 167–181 (2012)

    Google Scholar 

  48. Deiorio, N.M., Fitch, M.T., Jung, J., Promes, S.B., Thibodeau, L.G., Woolley, W.L., Gisondi, M.A., Gruppen, L.D.: Evaluating educational interventions in emergency medicine. Acad. Emerg. Med. 19(12), 1442–1453 (2012)

    Article  Google Scholar 

  49. Khan, T.M., Shahzad, C.M., Ahmed, M.K., Azhar, S.: Attitudes of emergency department staff towards the role of clinical pharmacists in a region of Saudi Arabia—a pilot study. Trop. J. Pharm. Res. 11(3), 477–483 (2012)

    Google Scholar 

  50. Weiss, J.C., Natarajan, S., Peissig, P.L., McCarty, C.A., Page, D.: Machine learning for personalized medicine: predicting primary myocardial infarction from electronic health records. AI Mag. 33(4), 33 (2012)

    Google Scholar 

  51. Lim, M.E., Nye, T., Bowen, J.M., Hurley, J., Goeree, R., Tarride, J.E.: Mathematical modeling: the case of emergency department waiting times. Int. J. Technol. Assess. Health Care 28(2), 93–109 (2012)

    Article  Google Scholar 

  52. Cabrera, E., Taboada, M., Iglesias, M.L., Epelde, F., Luque, E.: Simulation optimization for healthcare emergency departments. Procedia Comput. Sci. 1(9), 1464–1473 (2012)

    Article  Google Scholar 

  53. Alharthi, S.Z.: Towards a sustainable competitive advantage. Int. J. Bus. Res. Dev. 1(1) (2012)

    Google Scholar 

  54. Bhuiya, F.A., Hing, E.: Wait time for treatment in hospital emergency departments (2009)

    Google Scholar 

  55. Ross, M.A., Hockenberry, J.M., Mutter, R., Barrett, M., Wheatley, M., Pitts, S.R.: Protocol-driven emergency department observation units offer savings, shorter stays, and reduced admissions. Health Aff. 32(12), 2149–2156 (2013)

    Google Scholar 

  56. Parmar, P., Arii, M., Kayden, S.: Learning from Japan: strengthening US emergency care and disaster response. Health Aff. 32(12), 2172–2178 (2013)

    Google Scholar 

  57. Hwang, U., Shah, M.N., Han, J.H., Carpenter, C.R., Siu, A.L., Adams, J.G.: Transforming emergency care for older adults. Health Aff. 32(12), 2116–21121 (2013)

    Google Scholar 

  58. Martinez, R., Carr, B.: Creating integrated networks of emergency care: from vision to value. Health Aff. 32(12), 2082–2090 (2013)

    Google Scholar 

  59. Bernstein, S.L., D’Onofrio, G.: A promising approach for emergency departments to care for patients with substance use and behavioral disorders. Health Aff. 32(12), 2122–2128 (2013)

    Google Scholar 

  60. Billings, J., Raven, M.C.: Dispelling an urban legend: frequent emergency department users have substantial burden of disease. Health Aff. 32(12), 2099–2108 (2013)

    Google Scholar 

  61. Alpert, A., Morganti, K.G., Margolis, G.S., Wasserman, J., Kellermann, A.L.: Giving EMS flexibility in transporting low-acuity patients could generate substantial medicare savings. Health Aff. 32(12), 2142–2148 (2013)

    Google Scholar 

  62. Lurie, N., Margolis, G.S., Rising, K.L.: The US emergency care system: meeting everyday acute care needs while being ready for disasters. Health Aff. 32(12), 2166–2171 (2013)

    Google Scholar 

  63. Eastman, A.B., MacKenzie, E.J., Nathens, A.B.: Sustaining a coordinated, regional approach to trauma and emergency care is critical to patient health care needs. Health Aff. 32(12), 2091–2098 (2013)

    Google Scholar 

  64. Rosenbaum, S.: The enduring role of the emergency medical treatment and active labor act. Health Aff. 32(12), 2075–2081 (2013)

    Google Scholar 

  65. Jeremy Henri, M.V., Schiøtz, M.L., Guisset, A.-L., Adalsteinn, D.B., Klazinga, N.S.: The PATH project in eight European countries: an evaluation. Int. J. Health Care Qual. Assur. 26(8), 703–713

    Google Scholar 

  66. Enard, K.R., Ganelin, D.M., Dent, R.L.: Reducing preventable emergency department utilization and costs by using community health workers as patient navigators. J. Healthc. Manage. 58(6), 412–427; discussion 428 (2013)

    Google Scholar 

  67. Elwood, T.W.: Analysis & commentary: patchwork of scope-of-practice regulations prevent allied health professionals from fully participating in patient care. Health Aff. 32(11), 1985–1989 (2013)

    Google Scholar 

  68. Everett, C., Thorpe, C., Palta, M., Carayon, P., Bartels, C., Smith, M.A.: Physician assistants and nurse practitioners perform effective roles on teams caring for medicare patients with diabetes. Health Aff. 32(11), 1942–1948 (2013)

    Google Scholar 

  69. Dower, C., Moore, J., Langelier, M.: Analysis & commentary: it is time to restructure health professions scope-of-practice regulations to remove barriers to care. Health Aff. 32(11), 1971–1976 (2013)

    Google Scholar 

  70. Torchiana, D.F., Colton, D.G., Rao, S.K., Lenz, S.K., Meyer, G.S., Ferris, T.G.: Innovation profile: Massachusetts general physicians organization’s quality incentive program produces encouraging results. Health Aff. 32(10), 1748–1756 (2013)

    Google Scholar 

  71. Kirby, J.B., Kaneda, T.: ‘Double Jeopardy’ measure suggests blacks and hispanics face more severe disparities than previously indicated. Health Aff. 32(10), 1766–1772 (2013)

    Google Scholar 

  72. Newgard, C.D., Staudenmayer, K., Hsia, R.Y., Mann, N.C., Bulger, E.M., Holmes, J.F., et al.: The cost of overtriage: more than one-third of low-risk injured patients were taken to major trauma centers. Health Aff. 32(9), 1591–1599 (2013)

    Google Scholar 

  73. Miranda, M.L., Ferranti, J., Strauss, B., Neelon, B., Califf, R.M.: Geographic health information systems: a platform to support the ‘triple aim’. Health Aff. 32(9), 1608–1615 (2013)

    Google Scholar 

  74. DesRoches, C.M., Worzala, C., Bates, S.: Some hospitals are falling behind in meeting ‘meaningful use’ criteria and could be vulnerable to penalties in 2015. Health Aff. 32(8), 1355–1360 (2013)

    Google Scholar 

  75. Adler-Milstein, J., Bates, D.W., Jha, A.K.: Operational health information exchanges show substantial growth, but long-term funding remains a concern. Health Aff. 32(8), 1486–1492 (2013)

    Google Scholar 

  76. Wharam, J.F., Zhang, F., Landon, B.E., Soumerai, S.B., Ross-Degnan, D.: Low-socioeconomic-status enrollees in high-deductible plans reduced high-severity emergency care. Health Aff. 32(8), 1398–1406 (2013)

    Google Scholar 

  77. Harrison G., Zeitz, K., Adams, R., Mackay, M.: Does hospital occupancy impact discharge rates? Aust. Health Rev. 37(4), 1–9 (2013)

    Google Scholar 

  78. Dilwali, P.K.: From acute care to home care: the evolution of hospital responsibility and rationale for increased vertical integration. J. Healthc. Manage. 58(4), 267–276 (2013)

    Google Scholar 

  79. Ewing, M.: The patient-centered medical home solution to the cost-quality conundrum. J. Healthc. Manage. 58(4), 258–266 (2013)

    Google Scholar 

  80. Kang, R., Hasnain-Wynia, R., Hood, M.M.: Hospital commitment to community orientation and its association with quality of care and patient experience. J. Healthc. Manage. 58(4), 277–288; discussion 288–289 (2013)

    Google Scholar 

  81. Pallin, D.J., Allen, M.B., Espinola, J.A., Camargo, C.A., Bohan, J.S.: Population aging and emergency departments: visits will not increase, lengths-of-stay and hospitalizations will. Health Aff. 32(7), 1306–1312 (2013)

    Google Scholar 

  82. Kangovi, S., Barg, F.K., Carter, T., Long, J.A., Shannon, R., Grande, D.: Understanding why patients of low socioeconomic status prefer hospitals over ambulatory care. Health Aff. 32(7), 1196–1203 (2013)

    Google Scholar 

  83. Decker, S.L.: Two-thirds of primary care physicians accepted new medicaid patients in 2011–12: a baseline to measure future acceptance rates. Health Aff. 32(7), 1183–1187 (2013)

    Google Scholar 

  84. Sherman, H.D., Zhu, J.: Analyzing performance in service organizations. MIT Sloan Manage. Rev. 54(4), 37–42 (2013)

    Google Scholar 

  85. Dill, M.J., Pankow, S., Erikson, C., Shipman, S.: Survey shows consumers open to a greater role for physician assistants and nurse practitioners. Health Aff. 32(6), 1135–1142 (2013)

    Google Scholar 

  86. Melnick, G., Fonkych, K.: Fair pricing law prompts most california hospitals to adopt policies to protect uninsured patients from high charges. Health Aff. 32(6), 1101–1108 (2013)

    Google Scholar 

  87. Tanio, C., Chen, C.: Innovations at miami practice show promise for treating high-risk medicare patients. Health Aff. 32(6), 1078–1082 (2013)

    Google Scholar 

  88. Rosenberg, S.P., Hickie, I.B.: Making activity-based funding work for mental health. Aust. Health Rev. 37(3), 277–280 (2013)

    Google Scholar 

  89. Dennis, S.M., Harris, M., Lloyd1, J., Davies, G.P., Faruqi, N., Zwar, N.: Do people with existing chronic conditions benefit from telephone coaching? A rapid review. Aust. Health Rev. 37(3), 381–388 (2013)

    Google Scholar 

  90. Eibner, C., Goldman, D.P., Sullivan, J., Garber, A.M.: Three large-scale changes to the medicare program could curb its costs but also reduce enrollment. Health Aff. 32(5), 891–899 (2013)

    Google Scholar 

  91. Davis, K., Schoen, C., Guterman, S.: Medicare essential: an option to promote better care and curb spending growth. Health Aff. 32(5), 900–909 (2013)

    Google Scholar 

  92. Chircu, A.M., Gogan, J.L., Boss, S.R., Baxter, R.: Medication errors, handoff processes and information quality. Bus. Process Manage. J. 19(2), 201–216 (2013)

    Article  Google Scholar 

  93. Kozhimannil, K.B., Law, M.R., Virnig, B.A.: Cesarean delivery rates vary tenfold among US hospitals; reducing variation may address quality and cost issues. Health Aff. 32(3), 527–535 (2013)

    Google Scholar 

  94. Kelley, A.S., Deb, P., Du, Q., Aldridge Carlson, M.D., Morrison, R.S.: Hospice enrollment saves money for Medicare and improves care quality across a number of different lengths-of-stay. Health Aff. 32(3), 552–561 (2013)

    Article  Google Scholar 

  95. Kutney-Lee, A., Sloane, D.M., Aiken, L.H.: An increase in the number of nurses with baccalaureate degrees is linked to lower rates of postsurgery mortality. Health Aff. 32(3), 579–586 (2013)

    Google Scholar 

  96. Roseman, D., Osborne-Stafsnes, J., Amy, C.H., Boslaugh, S., Slate-Miller, K.: Early lessons from four ‘aligning forces for quality’ communities bolster the case for patient-centered care. Health Aff. 32(2), 232–241 (2013)

    Google Scholar 

  97. Hibbard, J.H., Greene, J.: What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff. 32(2), 207–214 (2013)

    Google Scholar 

  98. Koh, H.K., Brach, C., Harris, L.M., Parchman, M.L.: A proposed ‘health literate care model’ would constitute a systems approach to improving patients’ engagement in care. Health Aff. 32(2), 357–367 (2013)

    Google Scholar 

  99. Han, E., Scholle, S.H., Morton, S., Bechtel, C., Kessler, R.: Survey shows that fewer than a third of patient-centered medical home practices engage patients in quality improvement. Health Aff. 32(2), 368–375 (2013)

    Google Scholar 

  100. Corlette, S., Downs, D., Monahan, C.H., Yondorf, B.: State insurance exchanges face challenges in offering standardized choices alongside innovative value-based insurance. Health Aff. 32(2), 418–426 (2013)

    Google Scholar 

  101. Veroff, D., Marr, A., Wennberg, D.E.: Enhanced support for shared decision making reduced costs of care for patients with preference-sensitive conditions. Health Aff. 32(2), 285–293 (2013)

    Google Scholar 

  102. Brailsford, S.C., Bolt, T.B., Bucci, G., Chaussalet, T.M., Connell, N.A., Harper, P.R., et al.: Overcoming the barriers: a qualitative study of simulation adoption in the NHS. J. Oper. Res. Soc. 64(2), 157–168 (2013)

    Google Scholar 

  103. Malyon, R., Zhao, Y., Oates, B.: Differences in the cost of admitted patient care for Indigenous people and people from remote locations. Aust. Health Rev. 37(1), 26–31 (2013)

    Google Scholar 

  104. Song, Z., Hill, C., Bennet, J., Vavasis, A., Oriol, N.E.: Mobile clinic in Massachusetts associated with cost savings from lowering blood pressure and emergency department use. Health Aff. 32(1), 36–44 (2013)

    Google Scholar 

  105. Ward, R., Gallagher, L., Landen, M.: 2013 Emergency Department Data Annual Report [Internet]. New Mexico Department of Health (2013)

    Google Scholar 

  106. Morganti, K.G., Bauhoff, S., Blanchard, J.C., Abir, M., Iyer, N., Smith, A., Vesely, J.V., Okeke, E.N., Kellermann, A.L.: The evolving role of emergency departments in the United States. RAND Health Q. 3(2) (2013)

    Google Scholar 

  107. Courtney, M., Gopinath, B., Toward, M., Jain, R., Rao, M.: Are adequate fluid challenges prescribed for severe sepsis? Int. J. Health Care Qual. Assur. 27(8), 719–728 (2014)

    Article  Google Scholar 

  108. Edwards, S.T., Bitton, A., Hong, J., Landon, B.E.: Patient-centered medical home initiatives expanded in 2009–13: providers, patients, and payment incentives increased. Health Aff. 33(10), 1823–1831 (2014)

    Google Scholar 

  109. Lewis, V.A., Colla, C.H., Tierney, K., Van Citters, A.D., Fisher, E.S., Meara, E.: Few ACOs pursue innovative models that integrate care for mental illness and substance abuse with primary care. Health Aff. 33(10), 1808–1816 (2014)

    Google Scholar 

  110. Busse, R., Stahl, J.: Integrated care experiences and outcomes in Germany, The Netherlands, and England. Health Aff. 33(9), 1549–1558 (2014)

    Google Scholar 

  111. Stock, S., Pitcavage, J.M., Simic, D., Altin, S., Graf, C., Feng, W., et al.: Chronic care model strategies in the united states and germany deliver patient-centered, high-quality diabetes care. Health Aff. 33(9), 1540–1548 (2014)

    Google Scholar 

  112. Sabbatini, A.K., Nallamothu, B.K., Kocher, K.E.: Reducing variation in hospital admissions from the emergency department for low-mortality conditions may produce savings. Health Aff. 33(9), 1655–1663 (2014)

    Google Scholar 

  113. Beaupert, F., Carney, T., Chiarella, M., Satchell, C., Walton, M., Bennett, B., et al.: Regulating healthcare complaints: a literature review. Int. J. Health Care Qual. Assur. 27(6), 505–518 (2014)

    Article  Google Scholar 

  114. Cabin, W., Himmelstein, D.U., Siman, M.L., Woolhandler, S.: For-profit medicare home health agencies’ costs appear higher and quality appears lower compared to nonprofit agencies. Health Aff. 33(8), 1460–1465 (2014)

    Google Scholar 

  115. Wu, S., Sylwestrzak, G., Shah, C., DeVries, A.: Price transparency for MRIs increased use of less costly providers and triggered provider competition. Health Aff. 33(8), 1391–1398 (2014)

    Google Scholar 

  116. Walsh, T.P., Pilkington, D.C., Wong, E.J., Brown, C.H., Mercer, G.E.: Orthopaedic triaging by podiatrists: a prospective study of patient satisfaction and service efficiency. Aust. Health Rev. 38(4), 406–411 (2014)

    Google Scholar 

  117. Bell, A., Cochrane, A., Courtice, S., Flanigan, K., Mathur, M., Wilckens, D.: Strength in unity: the power of redesign to align the hospital team. Aust. Health Rev. 38(3), 271–277 (2014)

    Google Scholar 

  118. Allen, H., Wright, B.J., Baicker, K.: New Medicaid enrollees in Oregon report health care successes and challenges. Health Aff. 33(2), 292–299 (2014)

    Google Scholar 

  119. Stingley, S., Schultz, H.: Helmsley trust support for telehealth improves access to care in rural and frontier areas. Health Aff. 33(2), 336–341 (2014)

    Google Scholar 

  120. Green, J., Dawber, J., Masso, M., Eagar, K.: Emergency department waiting times: do the raw data tell the whole story? Aust. Health Rev. 38(1), 1–5 (2014)

    Google Scholar 

  121. Huppertz, J.W., Smith, R., Bombard, C.F.: The value of patients’ handwritten comments on HCAHPS surveys/practitioner application. J. Healthc. Manage. 59(1), 31–47 (2014)

    Google Scholar 

  122. Ward, R., Gallagher, L., Landen, M.: Emergency Department Data Annual Report [Internet]. New Mexico Department of Health (2014)

    Google Scholar 

  123. Bukhari, H., Albazli, K., Almaslmani, S., Attiah, A., Bukhary, E., Najjar, F., Qari, A., Sulaimani, N., Al-Lihyani, A., Alhazmi, A., Al-Maghrabi, H.: Analysis of waiting time in emergency department of al-noor specialist hospital, Makkah, Saudi Arabia. Open J. Emerg. Med. 2(04), 67 (2014)

    Article  Google Scholar 

  124. Connelly, L.G., Bair, A.E.: Discrete event simulation of emergency department activity: a platform for system-level operations research. Acad. Emerg. Med. 11(11), 1177–1185 (2004)

    Article  Google Scholar 

  125. Ahmad, N., Ghani, N.A., Kamil, A.A., Tahar, R.M.: Emergency department problems: a call for hybrid simulation. In: Proceedings of the World Congress on Engineering, vol. 3, pp. 1–10 (2012)

    Google Scholar 

  126. Gilchrist, J., Parker, E.M.: Racial and ethnic disparities in fatal unintentional drowning among persons less than 30 years of age—United States, 1999–2010. J. Saf. Res. 1(50), 139–142 (2014)

    Article  Google Scholar 

  127. Weiss, A.J., Wier, L.M., Stocks, C., Blanchard, J:. Overview of emergency department visits in the United States, 2011. HCUP Statistical Brief. 174 (2014)

    Google Scholar 

  128. Carmen, R., Defraeye, M., Celik Aydin, B., Van Nieuwenhuyse, I.: Modeling emergency departments using discrete-event simulation: a real-life case study including patient boarding. FEB Research Report KBI_1420 (2014)

    Google Scholar 

  129. Davenport, P.J., O’Connor, S.J., Szychowski, J.M., Landry, A.Y., Hernandez, S.R.: The relationship between emergency department wait times and inpatient satisfaction. Health Mark. Q. 34(2), 97–112 (2017)

    Article  Google Scholar 

  130. Skinner, H.G., Blanchard, J., Elixhauser, A.: Trends in emergency department visits, 2006–2011: Statistical brief# 179

    Google Scholar 

  131. Sharpe, M.: Engaging front-line nurses to improve the outcomes of patient care, 2006–13. Health Aff. 34(12), 2196–2201 (2015) [serial on the Internet] [cited August 16, 2017]. Available from: CINAHL Complete

    Google Scholar 

  132. Dyas, S., Greenfield, E., Messimer, S., Thotakura, S., Gholston, S., Hays, M., et al.: Process-improvement cost model for the emergency department. J. Healthc. Manage. 60(6), 442–458 (2015) [serial on the Internet] [cited August 16, 2017]. Available from: Health Business Elite

    Google Scholar 

  133. Shin, P., Sharac, J., Rosenbaum, S.: Community health centers and Medicaid at 50: an enduring relationship essential for health system transformation. Health Aff. 34(7), 1096–1104 (2015) [serial on the Internet] [cited August 16, 2017]. Available from: Health Business Elite

    Google Scholar 

  134. Wright, B., Potter, A., Trivedi, A.: Federally qualified health center use among dual eligibles: rates of hospitalizations and emergency department visits. Health Aff. 34(7), 1147–1155 (2015) [serial on the Internet] [cited August 16, 2017]. Available from: Health Business Elite

    Google Scholar 

  135. Obermeyer, Z., Powers, B., Makar, M., Keating, N., Cutler, D.: Practice variation. Physician characteristics strongly predict patient enrollment in hospice. Health Aff. 34(6): 993–1000 (2015) [serial on the Internet] [cited August 16, 2017]. Available from: Health Business Elite

    Google Scholar 

  136. Carey, K., Lin, M.: Readmissions to New York hospitals fell for three target conditions from 2008 to 2012, consistent with medicare goals. Health Aff. 34(6), 978–985 (2015) (Project Hope) [serial on the Internet] [cited August 16, 2017]. Available from: MEDLINE Complete

    Google Scholar 

  137. Harding, P., Prescott, J., Sayer, J., Pearce, A.: Advanced musculoskeletal physiotherapy clinical education framework supporting an emerging new workforce*. Aust. Health Rev. 39(3), 271–282 (2015) [serial on the Internet] [cited August 16, 2017]. Available from: CINAHL Complete

    Google Scholar 

  138. Skinner, E.H., Haines, K.J., Hayes, K., Seller, D., Toohey, J.C., Reeve, J.C., Holdsworth, C., Haines, T.P.: Future of specialised roles in allied health practice: who is responsible? Aust. Health Rev. 39(3), 255–259 (2015)

    Article  Google Scholar 

  139. Haeder, S.F., Weimer, D.L., Mukamel, D.B.: California hospital networks are narrower in Marketplace than in commercial plans, but access and quality are similar. Health Aff. 34(5), 741–748 (2015)

    Article  Google Scholar 

  140. Maeng, D.D., Khan, N., Tomcavage, J., Graf, T.R., Davis, D.E., Steele, G.D.: Reduced acute inpatient care was largest savings component of Geisinger Health System’s patient-centered medical home. Health Aff. 34(4), 636–644 (2015)

    Article  Google Scholar 

  141. Hsia, R.Y., Nath, J.B., Baker, L.C.: California emergency department visit rates for medical conditions increased while visit rates for injuries fell, 2005–11. Health Aff. 34(4), 621–626 (2015)

    Article  Google Scholar 

  142. Rahurkar, S., Vest, J.R., Menachemi, N.: Despite the spread of health information exchange, there is little evidence of its impact on cost, use, and quality of care. Health Aff. 34(3), 477–483 (2015)

    Article  Google Scholar 

  143. Griffith, J.R.: Understanding high-reliability organizations: are baldrige recipients models? J. Healthc. Manage. 60(1), 44–62 (2015)

    Google Scholar 

  144. Wiley, J.A., Rittenhouse, D.R., Shortell, S.M., Casalino, L.P., Ramsay, P.P., Bibi, S., Ryan, A.M., Copeland, K.R., Alexander, J.A.: Managing chronic illness: physician practices increased the use of care management and medical home processes. Health Aff. 34(1), 78–86 (2015)

    Article  Google Scholar 

  145. Gul, M., Guneri, A.F.: A comprehensive review of emergency department simulation applications for normal and disaster conditions. Comput. Ind. Eng. 1(83), 327–344 (2015)

    Article  Google Scholar 

  146. Dockins, J., Abuzahrieh, R., Stack, M.: Arabic translation and adaptation of the hospital consumer assessment of healthcare providers and systems (HCAHPS) patient satisfaction survey instrument. J. Health Hum. Serv. Adm. 1, 518–536 (2015)

    Google Scholar 

  147. McDougal, T.R., Jr.: Emergency department wait time communication strategies and patient throughput efficiency. The University of Alabama at Birmingham (2015)

    Google Scholar 

  148. Ghanes, K., Jouini, O., Wargon, M., Jemai, Z.: Modeling and analysis of triage nurse ordering in emergency departments. In: 2015 International Conference on Industrial Engineering and Systems Management (IESM), 21 Oct 2015, pp. 228–235. IEEE (2015)

    Google Scholar 

  149. Bellamkonda, V.R., Kumar, R., Scanlan-Hanson, L.N., Hess, J.J., Hellmich, T.R., Bellamkonda, E., et al.: Pilot study of Kano “Attractive Quality” techniques to identify change in emergency department patient experience. Ann. Emerg. Med. 68(5), 553–561 (2016)

    Google Scholar 

  150. Ganesan, V., Loftus, C.J., Hinck, B., Greene, D.J., Nyame, Y.A., Sivalingam, S., Monga, M.: Clinical predictors of 30-day emergency department revisits for patients with ureteral stones. J. Urol. 196(5), 1467–1470 (2016)

    Article  Google Scholar 

  151. Van der Linden, M.C., Meester, B.E., van der Linden, N.: Emergency department crowding affects triage processes. Int. Emerg. Nurs. 1(29), 27–31 (2016)

    Article  Google Scholar 

  152. Nezamoddini, N., Khasawneh, M.T.: Modeling and optimization of resources in multi-emergency department settings with patient transfer. Oper. Res. Health Care 1(10), 23–34 (2016)

    Article  Google Scholar 

  153. Nobel, R.: Retrial queueing models in discrete time: a short survey of some late arrival models. Ann. Oper. Res. 247(1), 37–63 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  154. Wachs, P., Saurin, T.A., Righi, A.W., Wears, R.L.: Resilience skills as emergent phenomena: a study of emergency departments in Brazil and the United States. Appl. Ergon. 1(56), 227–237 (2016)

    Article  Google Scholar 

  155. Leporatti, L., Ameri, M., Trinchero, C., Orcamo, P., Montefiori, M.: Targeting frequent users of emergency departments: prominent risk factors and policy implications. Health Policy 120(5), 462–470 (2016)

    Article  Google Scholar 

  156. Chaovalitwongse, W.A., Chou, C.A., Liang, Z., Wang, S.: Applied optimization and data mining. Ann. Oper. Res. 249(1–2), 1–3 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  157. Yazdanparast, R., Hamid, M., Azadeh, M.A., Keramati, A.: An intelligent algorithm for optimization of resource allocation problem by considering human error in an emergency department. J. Ind. Syst. Eng. 11(1), 287–309 (2018)

    Google Scholar 

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Ben Zayed, S., Gani, A.B., Gadelrab, H.F., Bin Othman, M.K. (2021). Decades Trend of Emergency Department System Operations. In: Operational Management in Emergency Healthcare. Studies in Systems, Decision and Control, vol 297. Springer, Cham. https://doi.org/10.1007/978-3-030-53832-3_3

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