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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1978 1
1979 1
1980 1
1982 2
1985 1
1986 2
1987 1
1989 2
1990 3
1991 3
1992 1
1994 2
1995 2
1996 9
1997 4
1998 3
1999 5
2000 2
2001 8
2002 6
2003 7
2004 8
2005 5
2006 9
2007 8
2008 9
2009 6
2010 9
2011 8
2012 13
2013 15
2014 16
2015 17
2016 12
2017 7
2018 9
2019 14
2020 10
2021 3
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215 results
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Page 1
A systematic review of triage-related interventions to improve patient flow in emergency departments.
Oredsson S, Jonsson H, Rognes J, Lind L, Göransson KE, Ehrenberg A, Asplund K, Castrén M, Farrohknia N. Oredsson S, et al. Scand J Trauma Resusc Emerg Med. 2011 Jul 19;19:43. doi: 10.1186/1757-7241-19-43. Scand J Trauma Resusc Emerg Med. 2011. PMID: 21771339 Free PMC article. Review.
CONCLUSIONS: Introducing fast track for patients with less severe symptoms results in shorter waiting time, shorter length of stay, and fewer patients leaving without being seen. Team triage, with a physician in the team, will probably result in shorter waiting
CONCLUSIONS: Introducing fast track for patients with less severe symptoms results in shorter waiting time, shorter length of …
The Obstetrics Gynecology and Children's Hospital Emergency Room waiting time before hospitalization.
Ocak T, Bekdas M, Duran A, Göksügür SB, Küçükbayrak B. Ocak T, et al. Afr Health Sci. 2013 Dec;13(4):1162-9. doi: 10.4314/ahs.v13i4.43. Afr Health Sci. 2013. PMID: 24940347 Free PMC article.
BACKGROUND: One of the most substantial factors affecting patient satisfaction in the Obstetrics-Gynecology and Children's Hospital is the wait time in the emergency room. OBJECTIVE: We retrospectively studied the waiting periods of patients visiting the emergency r …
BACKGROUND: One of the most substantial factors affecting patient satisfaction in the Obstetrics-Gynecology and Children's Hospital is the w …
Association between adopting emergency department crowding interventions and emergency departments' core performance measures.
Alishahi Tabriz A, Trogdon JG, Fried BJ. Alishahi Tabriz A, et al. Am J Emerg Med. 2020 Feb;38(2):258-265. doi: 10.1016/j.ajem.2019.04.048. Epub 2019 Apr 29. Am J Emerg Med. 2020. PMID: 31060861
The outcome variables are ED length of stay for discharged and admitted patients, boarding time, wait time and percentage of patients who left ED before being seen (LWBS). ...Of 20 crowding interventions we tested, using adopting bedside registration (OR = 0.89, 95% …
The outcome variables are ED length of stay for discharged and admitted patients, boarding time, wait time and percentage of p …
Older adults are prioritized in terms of waiting time under the emergency triage system in Guangzhou, China.
Pan W, Zhang K, Li H, Wu M, Weng J. Pan W, et al. Geriatr Gerontol Int. 2019 Aug;19(8):786-791. doi: 10.1111/ggi.13714. Epub 2019 Jun 14. Geriatr Gerontol Int. 2019. PMID: 31199567
In total, 88.3% of patients received medical service within the target waiting time, and 87.4% of elderly patients received medical service within the target waiting time. ...The triage level, type of emergency subdivision, availability of outpatient s …
In total, 88.3% of patients received medical service within the target waiting time, and 87.4% of elderly patients received me …
The Impact of Service Quality on Patient Satisfaction and Revisiting Intentions: The Case of Public Emergency Departments.
Amarantou V, Chatzoudes D, Kechagia V, Chatzoglou PD. Amarantou V, et al. Qual Manag Health Care. 2019 Oct/Dec;28(4):200-208. doi: 10.1097/QMH.0000000000000232. Qual Manag Health Care. 2019. PMID: 31567843
RESULTS: The Structural Equation Modeling technique revealed that overall satisfaction is strongly influenced by "perceived service quality" (beta = .79), while it positively affects patient "behavioral intentions" (beta = .39). Also, "perceived waiting time" proved …
RESULTS: The Structural Equation Modeling technique revealed that overall satisfaction is strongly influenced by "perceived service quality" …
Measuring and Analyzing Waiting Time Indicators of Patients' Admitted in Emergency Department: A Case Study.
Amina S, Barrati A, Sadeghifar J, Sharifi M, Toulideh Z, Gorji HA, Feazbakhsh N. Amina S, et al. Glob J Health Sci. 2015 May 17;8(1):143-9. doi: 10.5539/gjhs.v8n1p143. Glob J Health Sci. 2015. PMID: 26234969 Free PMC article.
Data were analyzed by t. test and ANOVA. RESULTS: The average waiting time for patients from admission to enter the triage 5 minutes, the average time from triage to physician visit 6 minute and the average time between examinations to leave ED was est …
Data were analyzed by t. test and ANOVA. RESULTS: The average waiting time for patients from admission to enter the triage 5 m …
Triaging the triage: reducing waiting time to triage in the emergency department at a tertiary care hospital in New Delhi, India.
Kumar A, Lakshminarayanan D, Joshi N, Vaid S, Bhoi S, Deorari A. Kumar A, et al. Emerg Med J. 2019 Sep;36(9):558-563. doi: 10.1136/emermed-2019-208577. Epub 2019 Jul 31. Emerg Med J. 2019. PMID: 31366625
METHODS: A quality improvement (QI) team was formed. Data on waiting time to triage were collected between 12 pm and 1 pm. Data were collected by hospital attendants and recorded manually. T1 was noted as a time of arrival outside the ED, and T2 was noted as …
METHODS: A quality improvement (QI) team was formed. Data on waiting time to triage were collected between 12 pm and 1 pm. Dat …
The relationships between quality management systems, safety culture and leadership and patient outcomes in Australian Emergency Departments.
Clay-Williams R, Taylor N, Ting HP, Winata T, Arnolda G, Austin E, Braithwaite J. Clay-Williams R, et al. Int J Qual Health Care. 2020 Feb 6;32(Supplement_1):43-51. doi: 10.1093/intqhc/mzz105. Int J Qual Health Care. 2020. PMID: 32026932
DESIGN: Quantitative observational study, using linear and multi-level modelling to identify relationships between quality management systems at organization level; quality strategies at ED level for acute myocardial infarction (AMI), hip fracture and stroke; clinician safety cul …
DESIGN: Quantitative observational study, using linear and multi-level modelling to identify relationships between quality management system …
An integrated approach for designing in-time and economically sustainable emergency care networks: A case study in the public sector.
Ortiz-Barrios M, Alfaro-Saiz JJ. Ortiz-Barrios M, et al. PLoS One. 2020 Jun 22;15(6):e0234984. doi: 10.1371/journal.pone.0234984. eCollection 2020. PLoS One. 2020. PMID: 32569319 Free PMC article.
Emergency Care Networks (ECNs) were created as a response to the increased demand for emergency services and the ever-increasing waiting times experienced by patients in emergency rooms. In this sense, ECNs are called to provide a rapid diagnosis and early intervention so …
Emergency Care Networks (ECNs) were created as a response to the increased demand for emergency services and the ever-increasing waiting
Improvement of emergency department patient flow using lean thinking.
Sánchez M, Suárez M, Asenjo M, Bragulat E. Sánchez M, et al. Int J Qual Health Care. 2018 May 1;30(4):250-256. doi: 10.1093/intqhc/mzy017. Int J Qual Health Care. 2018. PMID: 29447352
OBJECTIVE: To apply lean thinking in triage acuity level-3 patients in order to improve emergency department (ED) throughtput and waiting time. DESIGN: A prospective interventional study. SETTING: An ED of a tertiary care hospital. ...CONCLUSION: Lean thinking is a …
OBJECTIVE: To apply lean thinking in triage acuity level-3 patients in order to improve emergency department (ED) throughtput and waiting
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