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Overcrowding in emergency departments: A review of strategies to decrease future challenges
Mohammad H Yarmohammadian1, Fatemeh Rezaei1, Abbas Haghshenas2, Nahid Tavakoli1
1 Health Management and Economics Research Center, Faculty of Management and Medical Informatics, Isfahan University of Medical Sciences, Isfahan, Iran
2 Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| Date of Submission | 18-Aug-2016 |
| Date of Decision | 07-Nov-2016 |
| Date of Acceptance | 16-Nov-2016 |
| Date of Web Publication | 16-Feb-2017 |
Correspondence Address:
Fatemeh Rezaei
Health Management and Economics Research Center, Faculty of Management and Medical Informatics, Isfahan University of Medical Sciences, Isfahan
Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/1735-1995.200277
Emergency departments (EDs) are the most challenging ward with respect to patient delay. The goal of this study is to present strategies that have proven to reduce delay and overcrowding in EDs. In this review article, initial electronic database search resulted in a total of 1006 articles. Thirty articles were included after reviewing full texts. Inclusion criteria were assessments of real patient flows and implementing strategies inside the hospitals. In this study, we discussed strategies of team triage, point-of-care testing, ideal ED patient journey models, streaming, and fast track. Patients might be directed to different streaming channels depending on clinical status and required practitioners. The most comprehensive strategy is ideal ED patient journey models, in which ten interrelated substrategies are provided. ED leaders should apply strategies that provide a continuous care process without deeply depending on external services. Keywords: Emergency department, overcrowding, patient flow, patient journey, patient safety
How to cite this article:
Yarmohammadian MH, Rezaei F, Haghshenas A, Tavakoli N. Overcrowding in emergency departments: A review of strategies to decrease future challenges. J Res Med Sci 2017;22:23 |
How to cite this URL:
Yarmohammadian MH, Rezaei F, Haghshenas A, Tavakoli N. Overcrowding in emergency departments: A review of strategies to decrease future challenges. J Res Med Sci [serial online] 2017 [cited 2023 Apr 2];22:23. Available from: https://www.jmsjournal.net/text.asp?2017/22/1/23/200277 |
| Introduction | |  |
Overcrowding in emergency departments (EDs) is a concerning global problem and has been identified as a national crisis in some countries.[1],[2] Overcrowding of EDs is defined as “the situation in which ED function is impeded primarily because of the excessive number of patients waiting to be seen, undergoing assessment and treatment, or waiting for departure comparing to the physical or staffing capacity of the ED.”[3] Patients' safety and privacy,[4],[5] timeliness of the services,[4] and frustration among ED staff [6] should be considered in the studies of overcrowding in EDs.
Imbalances between the capacity of the ED and the demand for patient triage, diagnostic images, laboratory tests, and specialty consultations affect the patient flow in ED.[7],[8] In addition, some studies have identified the effect of high occupancy (above 90%) and access block as causes of adverse patient outcomes, treatment delays, high mortality rates (20%–30%), prolonged inpatient length of stay (LOS), and hospital readmission.[9],[10],[11] The high occupancy of the ED can also be explained by the majority (50%–75%) of patients get admitted to the hospitals through ED.[12]
To alleviate the problem of ED overcrowding, different solutions are proposed by researchers such as input-throughput-output conceptual model of ED crowding,[13] increasing the resources, demand management, operation research,[11] lean thinking,[14] chest pain observation units,[15] rapid assessment zones,[16] and clinical decision units.[17] Lean health-care thinking led many of the new strategies with redesigning the optimal pathways, contributing value steps, and deleting nonvalue steps.[18] Four-hour target has been introduced by health authorities to decrease the LOS in ED.[19],[20] Despite previous efforts, limited scientific knowledge on how to improve patient flow in ED has achieved.[1]
The objective of this review article is to present strategies with an important role in the improvement of patient flow, delay in services, and overcrowding of the EDs.
| Materials and Methods | | |
In this review article, we performed a computerized database search to identify relevant articles. We searched for published and ready-to-publish articles in bibliographic databases, including ISI Web of Science, PubMed, Science Direct, Scopus, Wiley online library, Google Scholar, and other governmental, national, and international databases and websites. In addition, the literature search also involved a manual search of bibliographies of the identified papers and relevant information to meet the objectives of this study. An extensive search of keywords used in the search were “Emergency Department (ED),” “Overcrowding,” “Triage,” “Patient Acuity,” “Hospital Emergency Services,” “Emergency Room/Ward,” “length of Stay (LOS),” “Patient Navigation,” “ED Patient journey,” “ED Patient Flow,” “Ambulance diversion,” “Emergency Outpatient Unit,” and “Patient Safety.” [Table 1] provides details on the specific search terms and combinations. The selection of these terms was made with the help of MeSH service in PubMed website databases.
Data extraction
Independent reviewers (FR and MHY) screened abstracts and titles for eligibility. When the reviewers felt that the abstract or title was potentially useful, full copies of the article were retrieved and considered for eligibility by both reviewers. When discrepancies occurred between reviewers, the reasons were identified, and final decision was made based on a third reviewer (AH) agreement. STROBE scale was used to select the studies for this review.
Inclusion and exclusion criteria
For this review article, the literature limited to journal articles and governmental documents in English and Persian. The search included studies to 2016. The main reasons for exclusion were: (1) not assessing any real patient flow in EDs and (2) assessing patient flow outside the hospitals or specialized services of hospitals.
| Results | | |
The initial electronic database search of the literature resulted in a total of 1006 articles [Figure 1]. Of these, 136 were selected as potential studies based on their titles and abstracts. After the complete article was read, however, only thirty of these actually fulfilled the inclusion criteria. One hundred and six papers were excluded after reading the complete article.
Key strategies in controlling overcrowding in EDs have been categorized in this study [Table 2]. Facilities can utilize each of them as follows: | Table 2: Description of strategies to overcome emergency department overcrowdings
Click here to view |
Streaming in the patient journey
Predefined criteria for designing patients' flow after triage divide processes into different streams. The most typical streaming is called the fast track for handling patients with less serious symptoms.[50]
Health-care processes before and after the ED visit are interrelated. Examples of processes before the ED are prehospital and primary care visit, and provision of hospital beds is an example of a process after the ED visit. Therefore, it is important to review and improve all the health-care-related processes during patient visit systematically. Moreover, it should be considered in studies and decision-makings that access to ED is an issue at a strategic government level, whereas throughput efficiencies are being addressed at a local operational level.[51]
Strategies to manage throughput ED patient flow should focus on the following issues: Patient acuity levels, prolonged ED evaluations, inadequate inpatient bed capacity, shortage of staff, problems with access to on-call specialists, and the use of ED by those who have no alternative medical care, such as the uninsured patients.[52]
Fast track
Many hospitals have developed their own priority for providing fast track care, such as superficial wounds, nonsevere allergic reactions, fractures and distortions of small joints and bones, dog and cat bites, and minor burns.[26]
Team triage
Physician–nurse supplementary triage assistance team (MDRNSTAT) is considered to be more cost-effective than team triage during time periods with higher patient volume.[35] On the other hand, triage liaison physicians' (TLPs) role also proposes throughput factors contributed to ED overcrowding. The TLP's role is to work with triage staff to expedite the care of patients based on their medical needs, especially for those with unpredictable waiting times.[37],[53]
Development of triage systems
Medical Emergency Triage and Treatment System protocol in Sweden determines priority level based on the combination of vital parameters, symptoms, and signs, which are closely related to hospital LOS.[54] Other common models in Sweden are the Adaptive Process Triage or nurse/emergency physician triage and the Manchester Triage Scale or nurse/junior triage.[55] The reason for applying these new systems is an improvement in patient flow and increasing patient safety.[50] Kelen et al. introduced “Reverse Triage” as a system for safe early discharge of hospital inpatients to create additional inpatient capacity.[56] Telephone triage system is also a way of after-hours care in EDs, ambulance, and general practice services.[57]
Point-of-care testing
In theory, similar to lean thinking strategy, this tool eliminates some of the most problematic steps in the testing process, such as specimen transport and result distribution.[58] The Centers for Disease Control and Prevention introduced strategies to make HIV testing a routine part of health care by promoting simplified procedures to make testing more practical.[43] To reduce wait time of laboratory testing, the following interventions have been proposed: early ordering, predefined test panels based on symptoms, faster transportation to the laboratory, and faster reporting systems and point-of-care-testing (POCT).[50] Introducing POCT to the ED has significantly decreased turnaround time for the laboratory analyses which involve moving analytical instruments to the ED.[59]
Nurse-requested X-ray
This diagnostic procedure is another time-consuming process in the ED. To overcome waiting time, nurse-requested X-ray has piloted in some hospitals.[50]
Ideal emergency department patient journey models
The emphasis of the care is to stream patients into the most appropriate care model as early as possible. A set of possible [Figure 2] ED processes developed by New South Wales are summarized below: | Figure 2: The ideal patient journey with streaming to models of care within emergency department and external to emergency department[49]
Click here to view |
- Triage and registration, clinical initiatives nurse, resuscitation (including trauma), acute care, early ED senior assessment and streaming, early treatment zone, fast track, subacute, 2:1:1, and ED short-stay units [Figure 1]
- This strategy provides an overview of models of care outside the ED that can support patient flow and provide timely access to acute care services: Medical assessment unit, surgical assessment unit, a hospital in the home, and psychiatric emergency care center services
- This strategy provides an overview of community models of care that provide access to unscheduled ambulatory care: Urgent care center, health direct Australia advice line, connecting care, and after-hours general practitioner clinic.
| Discussion | | |
We need to consider the various aspects of overcrowding to overcome the emerging challenges. Overcrowding is associated with increased mortality, misplacing patients in an incorrect ward, delays in the initiation of critical cares (such as the administration of antibiotics in sepsis), longer physician waiting times, access block, decreased patient safety, decreased inpatient bed capacity due to high inpatient bed occupancy, and inefficient inpatient flow within the ED because of unnecessary peaks in demand for inpatient beds for elective surgery.[11],[60],[61],[62],[63]
Several interventions have been proposed to alleviate ED overcrowding in all the three levels of input, throughput, and output: Input (e.g., ambulance diversion), through-put (e.g., rapid assessment zones / pods, and clinical decision units), and output (e.g., full-capacity protocols, bed managers). The last two interventions will improve output for admitted patients, but these are not completely under the control of ED leaders and require system-wide interventions.[53] However, it is important to know that delay in patient flow during throughput phase has a significant influence on overcrowding. We considered contingency strategies during throughput phase and discussed them in the following section.
The main effect of team triage strategy would be fewer patients leaving without being visited by a practitioner. Another positive effect is streaming patients more rapidly.[50] Wang and Vikram's research has shown that presence of a family medicine resident physician in ED is associated with reduced waiting time and patients leaving without being seen.[64] Hence, the team triage strategy through the participation of a physician as the leader could be one of the benchmarks.
Another effective intervention that has been appeared to be helpful in reducing the LOS, especially in injury and/or suspected fracture cases requiring radiography, is triage nurse ordering.[65]
There are different types of alternative short-stay units including fast track, ambulatory areas, see and treat services, minor injury units, and rapid intervention and treatment zones. Numerous studies have shown that these units can effectively reduce mortality, the LOS, and access block, as well as improve staff and patient satisfaction.[51]
Among strategies discussed in this study, fast track is proven to have scientific evidence as many studies illustrated that fast track not negatively effects on treatments of patients with the more severe emergency condition. In addition, fast track would likely have financial benefits and higher patient satisfaction (e.g., shorter waiting time, shorter LOS, and fewer patients leaving without being seen). However, further studies are required to evaluate ethics and patient safety of these interventions. The presence of a senior physician, a junior doctor, or nurse practitioner to manage fast track has been recommended in previous studies. Patient selection is another issue for the fast track as patients should be managed without too many diagnostic procedures, for example, laboratory tests and diagnostic images. Moreover, the fast track should be separated from areas where acute patients with severe medical condition are managed.[66],[67],[68]
For paramedical services, laboratory examination of patients is another challenge in EDs. Directing patients to the laboratory testing stream is complex and time-consuming.[69] This process has different steps, such as ordering, sampling, marking, transportation, analysis, reporting of results, interpretations, and informing patients.[58] The laboratory testing stream increases the LOS in the ED about 80 min.[70] The range of tests also effects on waiting time and LOS.[62] Technical advancements expand the range of tests, which can decrease the LOS in the future.[71] In addition, it is necessary to consider and evaluate the prerequisites for quality management and reliability of every method. Low precision affects patient safety and leads to adverse events.[58]
There are other strategies that do not meet our eligibility criteria such as implementing outside the hospital or having simulation-based concepts. We will discuss some of the most widely used strategies.
Alternative care facilities
This strategy has been applied increasingly in many countries. Uncomplicated patients are referred to primary health-care centers outside the hospital such as ambulatory care facilities,[72] considering surge capacity as a contingency approach that will improve accessibility, reduce waiting time, lower costs, and improve patient outcome, staff satisfaction, and customer experience.[52]
Overcrowding hazard scale model
This model includes statistics variables that are used to anticipate hazard ratio in future: Age (more than 50 years), transport (ambulance vs. nonambulance), diagnosis (illness vs. injury), Australasian Triage Scale Urgency Category 1 (resuscitation vs. less-urgent categories of 3, 4, and 5), Australasian Triage Scale Category 2 (emergency vs. less-urgent categories of 3, 4, and 5), overcrowding hazard scale (multiplying the hospital occupancy score and the ED access block occupancy score), and referral practitioners (physician vs. nonmedical). This strategy can be used to monitor the overcrowding hazards in actual time.[9] Simulation of patient flow in ED is helpful to anticipate the near-future operating conditions with variables such as waiting count, waiting time, occupancy level, the LOS, boarding count, boarding time, and ambulance diversion.[73]
Strategies for patient flow after ED should direct limitations as follows: lack beds, insufficient access to inpatient beds, inflexible paper-based systems, isolation precautions, cleaning delays, over-reliance on Intensive Care Units, high bed dependency, and inefficient diagnostics with delays in discharging hospitalized patients.[13] In this study, we focus more on input and throughput strategies.
Emergency medicine ward
Populations under coverage of these facilities in a region are provided custom-made services. The focus is on patients who can be managed within 24–48 h of in-patient stay. Services are delivered interdepartmentally through interdisciplinary collaboration and consultation. After the rapid assessment, patients are referred to the next level of care such as community nurse service or a geriatric team. Emergency specialists round wards and perform four to six rounds per day.[74]
It is important to consider the synergetic effects of all the interventions described in this review as the effect of an intervention is not isolated, especially because of interference with organizational issues. Local context, organizational factors, and cost-effectiveness analysis of ED models necessitate additional methodological approaches with a sharper focus on outcomes of quality, patient and staff satisfaction, and economic and ethical issues.[51] Strategies for managing throughput ED patient flow should focus on the following issues: patient acuity levels, prolonged ED evaluations, inadequate inpatient bed capacity, a severe shortage of staff, problems with access to on-call specialists, and the use of ED by those with no other alternative to medical care, such as the uninsured.[52] Consequently, further studies must employ a systematic approach to evaluating the most likely way to success. Lean thinking, in which continuous improvement in all parts of processes is considered, would be helpful in this field of study.
Limitation
Only articles in English and Persian were included. Information bias is possible to occur in the field of misclassification of main concepts. In addition, selection bias could be considered in the field of publication bias within studies, especially nonaccessible governmental reports and books.
| Conclusion | | |
Overcrowding in hospitals is a complex phenomenon. The quality of services in EDs depends on coordinated efforts between emergency physicians, on-call specialists, emergency nurses, other health professionals, laboratory, diagnostic imaging services, and inpatient units. If any of these interdependent components disrupts the processes, health care would counter with difficulty. ED leaders can control some of these components. However, many components are controlled by stakeholders outside the ED whose priority may not be optimizing patient care in the ED. Thus, the ED may experience poor communication with laboratory and imaging services, restricted access to inpatient beds. ED leaders must focus on discussion meeting with institutional executives, internal and external stakeholders, and public policymakers to implement initiatives to ease ED crowding.[75]
In addition, economic incentives of high occupancy, aging population phenomenon in developed countries, and not predicting emergency demands to optimize capacity may cause overcrowding. Solutions could be a realignment of financial incentives, considering misuse and overuse of health services, and improved chronic disease management to reduce hospital bed demand.[76],[77],[78]
Although various models of care have been invented these days, understanding how and which models could be implemented in which organization requires further researches. Keeping challenges and advantages of each model help us choose the correct way.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
| Authors' Contribution | | |
FR and MHY contributed in the conception of the work, conducting the study, revising the draft, approval of the final version of the manuscript, and agreed for all aspects of the work. NT and AH contributed in the conception of the work, drafting and revising the draft, approval of the final version of the manuscript, and agreed for all aspects of the work.
| References | | |
| 1. | Eitel DR, Rudkin SE, Malvehy MA, Killeen JP, Pines JM. Improving service quality by understanding emergency department flow: A white paper and position statement prepared for the American Academy of Emergency Medicine. J Emerg Med 2010;38:70-9.  |
| 2. | Institute of Medicine Committee on the Future of Emergency Care in the U.S. Health System. The future of emergency care in the United States health system. Ann Emerg Med 2006;48:115-20. |
| 3. | Statement on Emergency Department overcrowding. Australasian college for emergency medicine 2011; S57: Jul-16. |
| 4. | Bernstein SL, D'Onofrio G. Public health in the emergency department: Academic emergency medicine consensus conference executive summary. Acad Emerg Med 2009;16:1037-9. |
| 5. | Moskop JC, Sklar DP, Geiderman JM, Schears RM, Bookman KJ. Emergency department crowding, part 1 – Concept, causes, and moral consequences. Ann Emerg Med 2009;53:605-11. |
| 6. | Derlet RW, Richards JR. Overcrowding in the nation's emergency departments: Complex causes and disturbing effects. Ann Emerg Med 2000;35:63-8. |
| 7. | Walley P. Designing the accident and emergency system: Lessons from manufacturing. Emerg Med J 2003;20:126-30. |
| 8. | Yoon P, Steiner I, Reinhardt G. Analysis of factors influencing length of stay in the emergency department. CJEM 2003;5:155-61. |
| 9. | Sprivulis PC, Da Silva JA, Jacobs IG, Frazer AR, Jelinek GA. The association between hospital overcrowding and mortality among patients admitted via Western Australian emergency departments. Med J Aust 2006;184:208-12. |
| 10. | Forero R, Hillman K. Access Block and Overcrowding: A Literature Review. The Simpson Centre-UNSW (prepared for ACEM); 2008. p. 79. |
| 11. | Hoot NR, Aronsky D. Systematic review of emergency department crowding: Causes, effects, and solutions. Ann Emerg Med 2008;52:126-36. |
| 12. | Dawson H, Weerasooriya J, Webster G. Hospital admissions via the emergency department: Implications for planning and patient flow. Healthc Q 2008;11:20-2. |
| 13. | Asplin BR, Magid DJ, Rhodes KV, Solberg LI, Lurie N, Camargo CA Jr. A conceptual model of emergency department crowding. Ann Emerg Med 2003;42:173-80. |
| 14. | Holden RJ. Lean Thinking in emergency departments: A critical review. Ann Emerg Med 2011;57:265-78. |
| 15. | Martinez E, Reilly BM, Evans AT, Roberts RR. The observation unit: A new interface between inpatient and outpatient care. Am J Med 2001;110:274-7. |
| 16. | Bullard MJ, Villa-Roel C, Guo X, Holroyd BR, Innes G, Schull MJ, et al. The role of a rapid assessment zone/pod on reducing overcrowding in emergency departments: A systematic review. Emerg Med J 2012;29:372-8. |
| 17. | Roberts MV, Baird W, Kerr P, O'Reilly S. Can an emergency department-based clinical decision unit successfully utilize alternatives to emergency hospitalization? Eur J Emerg Med 2010;17:89-96. |
| 18. | George M, Rowlands D, Price M, Maxey J. Value stream mapping and process flow tools. Lean Six Sigma Pocket Toolbook. New York: McGraw Hill; 2005. |
| 19. | Horwitz LI, Green J, Bradley EH. US emergency department performance on wait time and length of visit. Ann Emerg Med 2010;55:133-41. |
| 20. | Banerjee A, Mbamalu D, Hinchley G. The impact of process re-engineering on patient throughput in emergency departments in the UK. Int J Emerg Med 2008;1:189-92. |
| 21. | Moher D, Liberati A, Tetzlaff J, Altman DG; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med 2009;151:264-9, W64. |
| 22. | Grouse AI, Bishop RO, Gerlach L, de Villecourt TL, Mallows JL. A stream for complex, ambulant patients reduces crowding in an emergency department. Emerg Med Australas 2014;26:164-9. |
| 23. | Saghafian S, Hopp WJ, van Oyen MP, Desmond JS, Kronick SL. Patient streaming as a mechanism for improving responsiveness in emergency departments. Oper Res 2012;60:1080-97. |
| 24. | Subash F, Dunn F, McNicholl B, Marlow J. Team triage improves emergency department efficiency. Emerg Med J 2004;21:542-4. |
| 25. | Kim SW, Horwood C, Li JY, Hakendorf PH, Teubner DJ, Thompson CH. Impact of the emergency department streaming decision on patients' outcomes. Intern Med J 2015;45:1241-7. |
| 26. | Karpiel M, Williams M. Developing a FAST TRACK program. J Ambul Care Mark 1988;2:35-48. |
| 27. | van Donk P, Tanti ER, Porter JE. Triage and treat model of care: Effective management of minor injuries in the emergency department. Collegian. [In press] |
| 28. | Dinh M, Walker A, Parameswaran A, Enright N. Evaluating the quality of care delivered by an emergency department fast track unit with both nurse practitioners and doctors. Australas Emerg Nurs J 2012;15:188-94. |
| 29. | O'Brien D, Williams A, Blondell K, Jelinek GA. Impact of streaming “fast track” emergency department patients. Aust Health Rev 2006;30:525-32. |
| 30. | Ardagh MW, Wells JE, Cooper K, Lyons R, Patterson R, O'Donovan P. Effect of a rapid assessment clinic on the waiting time to be seen by a doctor and the time spent in the department, for patients presenting to an urban emergency department: A controlled prospective trial. N Z Med J 2002;115:U28. |
| 31. | Roche KT, editor. Improving patient safety by maximizing fast-track benefits in the emergency department – A queuing network approach. IIE Annual Conference Proceedings. US, Arizona: Institute of Industrial Engineers; 2007. |
| 32. | Rogers T, Ross N, Spooner D. Evaluation of a “See and Treat” pilot study introduced to an emergency department. Accid Emerg Nurs 2004;12:24-7. |
| 33. | Travers JP, Lee FC. Avoiding prolonged waiting time during busy periods in the emergency department: Is there a role for the senior emergency physician in triage? Eur J Emerg Med 2006;13:342-8. |
| 34. | Burström L, Letterstål A, Engström ML, Berglund A, Enlund M. The patient safety culture as perceived by staff at two different emergency departments before and after introducing a flow-oriented working model with team triage and lean principles: A repeated cross-sectional study. BMC Health Serv Res 2014;14:296. |
| 35. | Cheng I, Castren M, Kiss A, Zwarenstein M, Brommels M, Mittmann N. Cost-effectiveness of a physician-nurse supplementary triage assessment team at an academic tertiary care emergency department. CJEM 2016;18:191-204. |
| 36. | Cheng I, Lee J, Mittmann N, Tyberg J, Ramagnano S, Kiss A, et al. Implementing wait-time reductions under Ontario government benchmarks (Pay-for-Results): A cluster randomized trial of the effect of a physician-nurse supplementary triage assistance team (MDRNSTAT) on emergency department patient wait times. BMC Emerg Med 2013;13:17. |
| 37. | Holroyd BR, Bullard MJ, Latoszek K, Gordon D, Allen S, Tam S, et al. Impact of a triage liaison physician on emergency department overcrowding and throughput: A randomized controlled trial. Acad Emerg Med 2007;14:702-8. |
| 38. | Burström L, Engström ML, Castrén M, Wiklund T, Enlund M. Improved quality and efficiency after the introduction of physician-led team triage in an emergency department. Ups J Med Sci 2016;121:38-44. |
| 39. | White BA, Brown DF, Sinclair J, Chang Y, Carignan S, McIntyre J, et al. Supplemented triage and rapid treatment (START) improves performance measures in the emergency department. J Emerg Med 2012;42:322-8. |
| 40. | Arbune A, Wackerbarth S, Allison P, Conigliaro J. Improvement through small cycles of change: Lessons from an academic medical center emergency department. J Healthc Qual 2015;0:1-11. |
| 41. | Bourcier JE, Paquet J, Seinger M, Gallard E, Redonnet JP, Cheddadi F, et al. Performance comparison of lung ultrasound and chest X-ray for the diagnosis of pneumonia in the ED. Am J Emerg Med 2014;32:115-8. |
| 42. | Pirozzi C, Numis FG, Pagano A, Melillo P, Copetti R, Schiraldi F. Immediate versus delayed integrated point-of-care-ultrasonography to manage acute dyspnea in the emergency department. Crit Ultrasound J 2014;6:5. |
| 43. | Centers for Disease Control and Prevention (CDC). Advancing HIV prevention: New strategies for a changing epidemic – United States, 2003. MMWR Morb Mortal Wkly Rep 2003;52:329-32. |
| 44. | Kankaanpää M, Raitakari M, Muukkonen L, Gustafsson S, Heitto M, Palomäki A, et al. Use of point-of-care testing and early assessment model reduces length of stay for ambulatory patients in an emergency department. Scand J Trauma Resusc Emerg Med 2016;24:125. |
| 45. | White DA, Scribner AN, Schulden JD, Branson BM, Heffelfinger JD. Results of a rapid HIV screening and diagnostic testing program in an urban emergency department. Ann Emerg Med 2009;54:56-64. |
| 46. | Asha SE, Chan AC, Walter E, Kelly PJ, Morton RL, Ajami A, et al. Impact from point-of-care devices on emergency department patient processing times compared with central laboratory testing of blood samples: A randomised controlled trial and cost-effectiveness analysis. Emerg Med J 2014;31:714-9. |
| 47. | Lee EJ, Shin SD, Song KJ, Kim SC, Cho JS, Lee SC, et al. A point-of-care chemistry test for reduction of turnaround and clinical decision time. Am J Emerg Med 2011;29:489-95. |
| 48. | Parvin CA, Lo SF, Deuser SM, Weaver LG, Lewis LM, Scott MG. Impact of point-of-care testing on patients' length of stay in a large emergency department. Clin Chem 1996;42:711-7. |
| 49. | NSWMo, editor. Emergency department models of care. In: Health. North Sydney, New South Wales: Emergency Care Institute; 2012. |
| 50. | Oredsson S, Jonsson H, Rognes J, Lind L, Göransson KE, Ehrenberg A, et al. A systematic review of triage-related interventions to improve patient flow in emergency departments. Scand J Trauma Resusc Emerg Med 2011;19:43. |
| 51. | Wylie K, Crilly J, Toloo GS, FitzGerald G, Burke J, Williams G, et al. Review article: Emergency department models of care in the context of care quality and cost: A systematic review. Emerg Med Australas 2015;27:95-101. |
| 52. | Hall R. Patient Flow: Reducing Delay in Healthcare Delivery. US, Rochester: Springer Science and Business Media; 2013. |
| 53. | Rowe BH, Guo X, Villa-Roel C, Schull M, Holroyd B, Bullard M, et al. The role of triage liaison physicians on mitigating overcrowding in emergency departments: A systematic review. Acad Emerg Med 2011;18:111-20. |
| 54. | Widgren BR, Jourak M. Medical emergency triage and treatment system (METTS): A new protocol in primary triage and secondary priority decision in emergency medicine. J Emerg Med 2011;40:623-8. |
| 55. | Burström L, Nordberg M, Ornung G, Castrén M, Wiklund T, Engström ML, et al. Physician-led team triage based on lean principles may be superior for efficiency and quality? A comparison of three emergency departments with different triage models. Scand J Trauma Resusc Emerg Med 2012;20:57. |
| 56. | Kelen GD, Kraus CK, McCarthy ML, Bass E, Hsu EB, Li G, et al. Inpatient disposition classification for the creation of hospital surge capacity: A multiphase study. Lancet 2006;368:1984-90. |
| 57. | Fry MM. A systematic review of the impact of after hours care models on emergency departments, ambulance and general practice services. Australas Emerg Nurs J 2011;14:217-25. |
| 58. | Plebani M. Does POCT reduce the risk of error in laboratory testing? Clin Chim Acta 2009;404:59-64. |
| 59. | Schimke I. Quality and timeliness in medical laboratory testing. Anal Bioanal Chem 2009;393:1499-504. |
| 60. | Goulding L, Adamson J, Watt I, Wright J. Patient safety in patients who occupy beds on clinically inappropriate wards: A qualitative interview study with NHS staff. BMJ Qual Saf 2012;21:218-24. |
| 61. | Wu D, Zhou X, Ye L, Gan J, Zhang M. Emergency department crowding and the performance of damage control resuscitation in major trauma patients with hemorrhagic shock. Acad Emerg Med 2015;22:915-21. |
| 62. | Bellow AA Jr., Gillespie GL. The evolution of ED crowding. J Emerg Nurs 2014;40:153-60. |
| 63. | Schull MJ, Szalai JP, Schwartz B, Redelmeier DA. Emergency department overcrowding following systematic hospital restructuring: Trends at twenty hospitals over ten years. Acad Emerg Med 2001;8:1037-43. |
| 64. | Xi W, Dalal V. Impact of family medicine resident physicians on emergency department wait times and patients leaving without being seen. CJEM 2015;17:475-83. |
| 65. | Rowe BH, Villa-Roel C, Guo X, Bullard MJ, Ospina M, Vandermeer B, et al. The role of triage nurse ordering on mitigating overcrowding in emergency departments: A systematic review. Acad Emerg Med 2011;18:1349-57. |
| 66. | Sanchez M, Smally AJ, Grant RJ, Jacobs LM. Effects of a fast-track area on emergency department performance. J Emerg Med 2006;31:117-20. |
| 67. | Combs S, Chapman R, Bushby A. Evaluation of fast track. Accid Emerg Nurs 2007;15:40-7. |
| 68. | Rodi SW, Grau MV, Orsini CM. Evaluation of a fast track unit: Alignment of resources and demand results in improved satisfaction and decreased length of stay for emergency department patients. Qual Manag Health Care 2006;15:163-70. |
| 69. | Storrow AB, Zhou C, Gaddis G, Han JH, Miller K, Klubert D, et al. Decreasing lab turnaround time improves emergency department throughput and decreases emergency medical services diversion: A simulation model. Acad Emerg Med 2008;15:1130-5. |
| 70. | Askenasi R, Lheureux P, Gillet J. Influence of tests on patient time in the emergency department. Reanim Intensive care Med emrgency 1989;5:201-2. |
| 71. | Luppa PB, Müller C, Schlichtiger A, Schlebusch H. Point-of-care testing (POCT): Current techniques and future perspectives. Trends Anal Chem 2011;30:887-98. |
| 72. | Chan CL, Lin W, Yang NP, Huang HT. The association between the availability of ambulatory care and non-emergency treatment in emergency medicine departments: A comprehensive and nationwide validation. Health Policy 2013;110:271-9. |
| 73. | Hoot NR, LeBlanc LJ, Jones I, Levin SR, Zhou C, Gadd CS, et al. Forecasting emergency department crowding: A discrete event simulation. Ann Emerg Med 2008;52:116-25. |
| 74. | Authority H, editor. Clinical Services Plan for the New Territories East Cluster. Emergency Medicine Ward Operation Manual. Hong Kong: AHNH, A and E Department; 2008. |
| 75. | Moskop JC, Sklar DP, Geiderman JM, Schears RM, Bookman KJ. Emergency department crowding, part 2 – Barriers to reform and strategies to overcome them. Ann Emerg Med 2009;53:612-7. |
| 76. | Kuntz L, Mennicken R, Scholtes S. Stress on the ward: Evidence of safety tipping points in hospitals. Manage Sci 2014;61:754-71. |
| 77. | Muller SW, Szczesny A, Ernst P. Value Chain, Quality-, and Cost Management in High Cost Areas in Response to Changing Economic Incentives-Evidence From a German Hospital. Chris, Value Chain, Quality-, and Cost Management in High Cost Areas in Response to Changing Economic Incentives-Evidence From a German Hospital (01 August, 2014); 2014. |
| 78. | Claret PG, Bobbia X, Jonquet O, Bousquet J, de La Coussaye JE. Integrated chronic disease management to avoid emergency departments: The MACVIA-LR® approach. Intern Emerg Med 2014;9:875-8. |
[Figure 1], [Figure 2]
[Table 1], [Table 2]
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|
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|
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|
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|
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|
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|
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Correlation between crowdedness in emergency departments and anxiety in Chinese patients |
|
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Lessons learned from an evaluation of referrals to the emergency department |
|
| Roee Gorodetzer,Evan Avraham Alpert,Zvika Orr,Shifra Unger,Todd Zalut | | Israel Journal of Health Policy Research. 2020; 9(1) | | [Pubmed] | [DOI] | | | 50 |
Facilitators and barriers for emergency department clinicians using a rapid chest pain assessment protocol: qualitative interview research |
|
| Julia Crilly,Jaimi H. Greenslade,Sara Berndt,Tracey Hawkins,Louise Cullen | | BMC Health Services Research. 2020; 20(1) | | [Pubmed] | [DOI] | | | 51 |
Physician-related factors associated with unscheduled revisits to the emergency department and admission to the intensive care unit within 72 h |
|
| Chao-Sheng Chang,Kuo-Hsin Lee,Hung-Yuan Su,Cheuk-Kwan Sun,I-Ting Tsai,Ying-Ying Lo,Chih-Wei Hsu | | Scientific Reports. 2020; 10(1) | | [Pubmed] | [DOI] | | | 52 |
An Operational Exercise for Disaster Assessment and Emergency Preparedness in South of Iran |
|
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Stakeholders’ perspectives on models of care in the emergency department and the introduction of health and social care professional teams: A qualitative analysis using World Cafés and interviews |
|
| Marica Cassarino,Rosie Quinn,Fiona Boland,Marie E. Ward,Rosa McNamara,Margaret O’Connor,Gerard McCarthy,Damien Ryan,Rose Galvin,Katie Robinson | | Health Expectations. 2020; | | [Pubmed] | [DOI] | | | 54 |
A Method for Projections of the Emergency Department Behaviour by Non-Communicable Diseases from 2019 to 2039 |
|
| Elham Shojaei, Dolores Rexachs, Alvaro Wong, FRANCISCO EPELDE, Emilio Luque | | IEEE Journal of Biomedical and Health Informatics. 2020; : 1 | | [Pubmed] | [DOI] | | | 55 |
Emergency department overcrowding |
|
| Gregor Lindner,Bertram K. Woitok | | Wiener klinische Wochenschrift. 2020; | | [Pubmed] | [DOI] | | | 56 |
Etiology of emergency department overcrowding: descriptive analytics of inappropriate accesses at Salerno hospital in Italy |
|
| Vincenzo Andretta,Giuseppe Fenza,Mariacristina Gallo,Vincenzo Loia | | Journal of Data, Information and Management. 2020; | | [Pubmed] | [DOI] | | | 57 |
Impact of Protocol Utilizing Water-Soluble Contrast for Adhesive Small Bowel Obstruction |
|
| Luke Dombert,Amber Hussain,Brandon Bullock,Xujun Liu,Patrick Faughnan,Danielle Pigneri,Addison May,Trey Mathews,Kristy Semenza,Jason Granet,Robert Behm | | Journal of Surgical Research. 2020; | | [Pubmed] | [DOI] | | | 58 |
Prognostic utilization of models based on the APACHE II, APACHE IV, and SAPS II scores for predicting in-hospital mortality in emergency department |
|
| Zahra Rahmatinejad,Fariba Tohidinezhad,Hamidreza Reihani,Fatemeh Rahmatinejad,Ali Pourmand,Ameen Abu-Hanna,Saeid Eslami | | The American Journal of Emergency Medicine. 2020; | | [Pubmed] | [DOI] | | | 59 |
The influence of nurse allocated triage category on the care of patients with sepsis in the emergency department: A retrospective review |
|
| Alexandra Nevill,Lisa Kuhn,John Thompson,Julia Morphet | | Australasian Emergency Care. 2020; | | [Pubmed] | [DOI] | | | 60 |
The Impact of Bed Traffic Control and Improved Flow Process on Throughput Measures in a Metropolitan Emergency Department |
|
| Lorinda Stahley,Paul B. O’Brien,Matthew Lowe,Penny Porteous,Sean Austin | | Journal of Emergency Nursing. 2020; | | [Pubmed] | [DOI] | | | 61 |
A Comparative Assessment of the Nova Stat Profile Prime Plus® Critical Care Analyzer |
|
| Ali Jawa,Feroza Motara,Muhammed Moolla,Abdullah E Laher | | Cureus. 2020; | | [Pubmed] | [DOI] | | | 62 |
Applying a Human Centered Design to develop a patient prioritization tool for a pediatric emergency department: a detailed case study of first iterations (Preprint) |
|
| Jessica Schiro,Sylvia Pelayo,Alain Martinot,François Dubos,Marie-Catherine Beuscart-Zéphir,Romaric Marcilly | | JMIR Human Factors. 2020; | | [Pubmed] | [DOI] | | | 63 |
Effect of Delayed Admission to Intensive Care Units from the Emergency Department on the Mortality of Critically Ill Patients |
|
| Mehmet Suleyman Sabaz,Sinan Asar,Zafer Cukurova,Nagihan Sabaz,Halil Dogan,Gokhan Sertcakacilar | | Iranian Red Crescent Medical Journal. 2020; 22(6) | | [Pubmed] | [DOI] | | | 64 |
Fast track patients’ satisfaction, compliance and confidence with emergency department discharge planning |
|
| Leahanna Stevens,Margaret Fry,Michael Browne,Arthit Barnes | | Australasian Emergency Care. 2019; | | [Pubmed] | [DOI] | | | 65 |
Cost and Visit Duration of Same-Day Access at an Academic Ophthalmology Department vs Emergency Department |
|
| Eric L. Singman,Kerry Smith,Radhika Mehta,Michael V. Boland,Divya Srikumaran,Kevin Frick,Lynne Young,Gina Locco,Jing Tian,Cathy Kowalewski,Peter McDonnell | | JAMA Ophthalmology. 2019; | | [Pubmed] | [DOI] | | | 66 |
A proposed amendment to the current guidelines for mild traumatic brain injury: reducing computerized tomographies while maintaining safety |
|
| Tomas Vedin,Mathias Karlsson,Marcus Edelhamre,Linus Clausen,Sebastian Svensson,Mikael Bergenheim,Per-Anders Larsson | | European Journal of Trauma and Emergency Surgery. 2019; | | [Pubmed] | [DOI] | | | 67 |
Impact of Telemonitoring of Critically Ill Emergency Department Patients Awaiting ICU Transfer* |
|
| Rachel B. Kadar,David R. Amici,Kathleen Hesse,Adam Bonder,Michael Ries | | Critical Care Medicine. 2019; 47(9): 1201 | | [Pubmed] | [DOI] | | | 68 |
Feasibility of predictive model by clinical and laboratory parameters for risk stratification of geriatric abdominal pain |
|
| Chun Tat Lui,Wei Ming Ching,Kwok Leung Tsui,Ho Cheung Chu,Alex To Shing Tsui,Tak Shun Au,Tai Wai Wong,Kit Ling Fan,Ling Pong Leung | | Hong Kong Journal of Emergency Medicine. 2019; 26(4): 242 | | [Pubmed] | [DOI] | | | 69 |
Machine Learning-Based Patient Load Prediction and IoT Integrated Intelligent Patient Transfer Systems |
|
| Kambombo Mtonga,Santhi Kumaran,Chomora Mikeka,Kayalvizhi Jayavel,Jimmy Nsenga | | Future Internet. 2019; 11(11): 236 | | [Pubmed] | [DOI] | | | 70 |
Development and Evaluation of a Virtual Research Environment to Improve Quality of Care in Overcrowded Emergency Departments: Observational Study |
|
| Charles-Henri Houze-Cerfon,Christine Vaissié,Laurent Gout,Bruno Bastiani,Sandrine Charpentier,Dominique Lauque | | JMIR Serious Games. 2019; 7(3): e13993 | | [Pubmed] | [DOI] | | | 71 |
Time series model for forecasting the number of new admission inpatients |
|
| Lingling Zhou,Ping Zhao,Dongdong Wu,Cheng Cheng,Hao Huang | | BMC Medical Informatics and Decision Making. 2018; 18(1) | | [Pubmed] | [DOI] | | | 72 |
Effectiveness of early assessment and intervention by interdisciplinary teams including health and social care professionals in the emergency department: protocol for a systematic review |
|
| Marica Cassarino,Katie Robinson,Rosie Quinn,Breda Naddy,Andrew O’Regan,Damien Ryan,Fiona Boland,Marie E Ward,Rosa McNamara,Gerard McCarthy,Rose Galvin | | BMJ Open. 2018; 8(7): e023464 | | [Pubmed] | [DOI] | | | 73 |
Providing patients visiting emergency departments with useful information using public real time data: A case study based on Italian data |
|
| Lara Lusa,David Bukovšek | | Journal of Evaluation in Clinical Practice. 2018; | | [Pubmed] | [DOI] | | | 74 |
A dedicated neurologist at the emergency department during out-of-office hours decreases patients’ length of stay and admission percentages |
|
| M. Christien van der Linden,Crispijn L. van den Brand,Ido R. van den Wijngaard,Roeline A. Y. de Beaufort,Naomi van der Linden,Korné Jellema | | Journal of Neurology. 2018; | | [Pubmed] | [DOI] | | | 75 |
Communication and bed reservation: Decreasing the length of stay for emergency department trauma patients |
|
| Derrick Huang,Aveh Bastani,William Anderson,Janice Crabtree,Scott Kleiman,Shanna Jones | | The American Journal of Emergency Medicine. 2018; | | [Pubmed] | [DOI] | | | 76 |
A Recent Systematic Review on Simulation Modeling and Emergency Departments |
|
| Soraia Oueida, Seifedine Kadry, Pierre Abi Char | | International Journal of Public Health Management and Ethics. 2017; 2(1): 40 | | [Pubmed] | [DOI] | |
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