Literature DB >> 28283999

A Semantic-Based Model for Triage Patients in Emergency Departments.

Guilherme Wunsch1, Cristiano A da Costa2, Rodrigo R Righi1.   

Abstract

Triage is a process performed in an emergency department that aims to sort patients according to their need for care. When performed speedily and correctly, this process can potentially increase the chances of survival for a patient with serious complications. This study aims to develop a computer model, called UbiTriagem, which supports the process of triage using the concepts of web semantics and ubiquitous computing focused on healthcare. For evaluating the proposal, we performed an analysis of scenario-driven triage based on previously determined ratings. In addition, we conducted a usability evaluation in emergency department with the developed prototype with two user groups: nurses and patients. The main scientific contribution is the automatic triage assessment based on the gathering of patient data on mobile devices, performed automatically through the use of a reasoning technique in an ontology. The results for all evaluations were very positive. The automatic triage assessment has been assertive in 93.3% of the cases and, after adjustments in the model, in 100% of the cases. Regarding user satisfaction, we obtained rates of 98.7% and 96% when considering perception of utility and ease of use, respectively.

Entities:  

Keywords:  Emergency department; Health services; Triage; Ubiquitous computing; Web semantics

Mesh:

Year:  2017        PMID: 28283999     DOI: 10.1007/s10916-017-0710-y

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  17 in total

1.  Implementing an integrative multi-agent clinical decision support system with open source software.

Authors:  Jelber Sayyad Shirabad; Szymon Wilk; Wojtek Michalowski; Ken Farion
Journal:  J Med Syst       Date:  2010-03-18       Impact factor: 4.460

2.  Design and development of a mobile system for supporting emergency triage.

Authors:  W Michalowski; R Slowinski; S Wilk; K J Farion; J Pike; S Rubin
Journal:  Methods Inf Med       Date:  2005       Impact factor: 2.176

3.  Clinical decision support system for point of care use--ontology-driven design and software implementation.

Authors:  K Farion; W Michalowski; S Wilk; D O'Sullivan; S Rubin; D Weiss
Journal:  Methods Inf Med       Date:  2009-05-15       Impact factor: 2.176

4.  Construct an optimal triage prediction model: a case study of the emergency department of a teaching hospital in Taiwan.

Authors:  Shen-Tsu Wang
Journal:  J Med Syst       Date:  2013-08-29       Impact factor: 4.460

5.  Reliability and validity of a new French-language triage algorithm: the ELISA scale.

Authors:  Jerôme Jobé; Alexandre Ghuysen; Paul Gérard; Gary Hartstein; Vincent D'Orio
Journal:  Emerg Med J       Date:  2013-01-23       Impact factor: 2.740

6.  A Bayesian model for triage decision support.

Authors:  Sarmad Sadeghi; Afsaneh Barzi; Navid Sadeghi; Brent King
Journal:  Int J Med Inform       Date:  2005-09-02       Impact factor: 4.046

Review 7.  Modern triage in the emergency department.

Authors:  Michael Christ; Florian Grossmann; Daniela Winter; Roland Bingisser; Elke Platz
Journal:  Dtsch Arztebl Int       Date:  2010-12-17       Impact factor: 5.594

8.  Reliability of a computerized version of the Pediatric Canadian Triage and Acuity Scale.

Authors:  Jocelyn Gravel; Serge Gouin; Benoit Bailey; Michel Roy; Sylvie Bergeron; Devendra Amre
Journal:  Acad Emerg Med       Date:  2007-08-29       Impact factor: 3.451

9.  An integrated computerized triage system in the emergency department.

Authors:  Dominik Aronsky; Ian Jones; Bill Raines; Robin Hemphill; Scott R Mayberry; Melissa A Luther; Ted Slusser
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

10.  First evaluation of the paediatric version of the Swedish rapid emergency triage and treatment system shows good reliability.

Authors:  Hanna Westergren; Martin Ferm; Per Häggström
Journal:  Acta Paediatr       Date:  2013-12-30       Impact factor: 2.299

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  1 in total

1.  Artificial Intelligence Technology-Based Medical Information Processing and Emergency First Aid Nursing Management.

Authors:  Qing Liu; Liping Yang; Qingrong Peng
Journal:  Comput Math Methods Med       Date:  2022-02-04       Impact factor: 2.238

  1 in total

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