Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Results by year

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

Year Number of Results
1964 1
1974 1
1975 3
1976 3
1977 1
1978 3
1979 7
1980 4
1981 7
1982 4
1983 4
1984 6
1985 3
1986 13
1987 10
1988 9
1989 14
1990 18
1991 20
1992 15
1993 12
1994 16
1995 29
1996 29
1997 23
1998 33
1999 39
2000 50
2001 49
2002 46
2003 69
2004 80
2005 88
2006 129
2007 104
2008 109
2009 116
2010 145
2011 168
2012 213
2013 187
2014 196
2015 221
2016 282
2017 260
2018 275
2019 320
2020 467
2021 482
2022 466
2023 412
2024 417
2025 615
2026 30

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

5,593 results

Results by year

Filters applied: . Clear all
Page 1
Emergency department triage prediction of clinical outcomes using machine learning models.
Raita Y, Goto T, Faridi MK, Brown DFM, Camargo CA Jr, Hasegawa K. Raita Y, et al. Crit Care. 2019 Feb 22;23(1):64. doi: 10.1186/s13054-019-2351-7. Crit Care. 2019. PMID: 30795786 Free PMC article.
BACKGROUND: Development of emergency department (ED) triage systems that accurately differentiate and prioritize critically ill from stable patients remains challenging. ...In the critical care outcome prediction, all four machine learning models outpe …
BACKGROUND: Development of emergency department (ED) triage systems that accurately differentiate and prioritize …
Pediatric emergency triage systems.
Simon Junior H, Schvartsman C, Sukys GA, Farhat SCL. Simon Junior H, et al. Rev Paul Pediatr. 2022 Jul 15;41:e2021038. doi: 10.1590/1984-0462/2023/41/2021038. eCollection 2022. Rev Paul Pediatr. 2022. PMID: 35858040 Free PMC article. Review.
OBJECTIVE: The aim of this study was to perform a narrative review of the leading pediatric triage systems in emergency departments (EDs). DATA SOURCE: Articles published between 1999 and 2019 were identified by searching the MEDLINE, EMBASE, and PubMed datab …
OBJECTIVE: The aim of this study was to perform a narrative review of the leading pediatric triage systems in emergency …
Performance of triage systems in emergency care: a systematic review and meta-analysis.
Zachariasse JM, van der Hagen V, Seiger N, Mackway-Jones K, van Veen M, Moll HA. Zachariasse JM, et al. BMJ Open. 2019 May 28;9(5):e026471. doi: 10.1136/bmjopen-2018-026471. BMJ Open. 2019. PMID: 31142524 Free PMC article.
OBJECTIVE: To assess and compare the performance of triage systems for identifying high and low-urgency patients in the emergency department (ED). ...Comparisons were restricted to the three triage systems that had at least multiple evalu …
OBJECTIVE: To assess and compare the performance of triage systems for identifying high and low-urgency patients in the eme …
Triage Accuracy of Emergency Nurses: An Evidence-Based Review.
Suamchaiyaphum K, Jones AR, Markaki A. Suamchaiyaphum K, et al. J Emerg Nurs. 2024 Jan;50(1):44-54. doi: 10.1016/j.jen.2023.10.001. Epub 2023 Nov 4. J Emerg Nurs. 2024. PMID: 37930287 Review.
INTRODUCTION: Accurate triage assessment by emergency nurses is essential for prioritizing patient care and providing appropriate treatment. Undertriage and overtriage remain an ongoing issue in care of patients who present to the emergency department. …
INTRODUCTION: Accurate triage assessment by emergency nurses is essential for prioritizing patient care and providing appropri …
Modern triage in the emergency department.
Christ M, Grossmann F, Winter D, Bingisser R, Platz E. Christ M, et al. Dtsch Arztebl Int. 2010 Dec;107(50):892-8. doi: 10.3238/arztebl.2010.0892. Epub 2010 Dec 17. Dtsch Arztebl Int. 2010. PMID: 21246025 Free PMC article. Review.
The aim of this study is to identify modern triage instruments and assess their validity and reliability. METHODS: Review of selected literature retrieved by a search on the terms "emergency department" and "triage." ...MTS and ESI are both available i …
The aim of this study is to identify modern triage instruments and assess their validity and reliability. METHODS: Review of selected …
Triage Performance in Emergency Medicine: A Systematic Review.
Hinson JS, Martinez DA, Cabral S, George K, Whalen M, Hansoti B, Levin S. Hinson JS, et al. Ann Emerg Med. 2019 Jul;74(1):140-152. doi: 10.1016/j.annemergmed.2018.09.022. Epub 2018 Nov 22. Ann Emerg Med. 2019. PMID: 30470513
STUDY OBJECTIVE: Rapid growth in emergency department (ED) triage literature has been accompanied by diversity in study design, methodology, and outcome assessment. ...METHODS: PubMed, EMBASE, Scopus, and Web of Science were systematically searched for studie …
STUDY OBJECTIVE: Rapid growth in emergency department (ED) triage literature has been accompanied by diversity in study …
Models of care with advanced practice nurses in the emergency department: A scoping review.
Horvath S, Visekruna S, Kilpatrick K, McCallum M, Carter N. Horvath S, et al. Int J Nurs Stud. 2023 Dec;148:104608. doi: 10.1016/j.ijnurstu.2023.104608. Epub 2023 Sep 18. Int J Nurs Stud. 2023. PMID: 37801938
International literature shows similar stressors in the emergency department. Extended wait times to see health providers lead to poor outcomes, and innovative models of care are needed to address emergency department overcrowding and to meet the needs …
International literature shows similar stressors in the emergency department. Extended wait times to see health providers lead …
Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review.
Fernandes M, Vieira SM, Leite F, Palos C, Finkelstein S, Sousa JMC. Fernandes M, et al. Artif Intell Med. 2020 Jan;102:101762. doi: 10.1016/j.artmed.2019.101762. Epub 2019 Nov 17. Artif Intell Med. 2020. PMID: 31980099 Review.
MOTIVATION: Emergency Departments' (ED) modern triage systems implemented worldwide are solely based upon medical knowledge and experience. ...The core search consisted of searching in the papers' title, abstract and key words for the topics "triage", …
MOTIVATION: Emergency Departments' (ED) modern triage systems implemented worldwide are solely based upon medical knowl …
Applications of Artificial Intelligence and Machine Learning in Emergency Medicine Triage - A Systematic Review.
Almulihi QA, Alquraini AA, Almulihi FAA, Alzahid AA, Al Qahtani SSAJ, Almulhim M, Alqhtani SHS, Alnafea FMN, Mushni SAS, Alaqil NA, Assiri MIF, Maghraby NH. Almulihi QA, et al. Med Arch. 2024;78(3):198-206. doi: 10.5455/medarh.2024.78.198-206. Med Arch. 2024. PMID: 39944197 Free PMC article.
OBJECTIVE: This systematic review aims to assess the use of artificial intelligence (AI) and machine learning (ML) in determining the outcomes of patients presenting in Emergency department (ED) triage. METHODS: A systematic search was conducted on April 21, …
OBJECTIVE: This systematic review aims to assess the use of artificial intelligence (AI) and machine learning (ML) in determining the outcom …
Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study.
Masanneck L, Schmidt L, Seifert A, Kölsche T, Huntemann N, Jansen R, Mehsin M, Bernhard M, Meuth SG, Böhm L, Pawlitzki M. Masanneck L, et al. J Med Internet Res. 2024 Jun 14;26:e53297. doi: 10.2196/53297. J Med Internet Res. 2024. PMID: 38875696 Free PMC article.
BACKGROUND: Large language models (LLMs) have demonstrated impressive performances in various medical domains, prompting an exploration of their potential utility within the high-demand setting of emergency department (ED) triage. This study evaluated the …
BACKGROUND: Large language models (LLMs) have demonstrated impressive performances in various medical domains, prompting an exploration of t …
5,593 results