DocumentCode
2553967
Title
Triage of acute abdominal pain in childhood: clinical use of a palm handheld in a pediatric emergency department
Author
Michalowski, Wojtek ; Slowinski, Roman ; Rubin, Steven ; Wilk, Szymon
Author_Institution
Ottawa Univ., Ont., Canada
fYear
2004
fDate
5-8 Jan. 2004
Abstract
The paper describes design and implementation of a mobile clinical triage support system for the evaluation of acute appendicitis in childhood. The MET (mobile emergency triage) system was developed according to the general principles of client server architecture, with mobile clients running on palm handhelds. Decision model implemented in MET follows the principles of evidence based medicine based on retrospective data. We applied a hybrid methodological approach involving fuzzy measures and rough set theory to develop this model. In a randomized retrospective trial, the triage recommendation of the MET system had a sensitivity of 86.7% and a specificity of 85.7%. MET is a fully functional mobile clinical triage support system that provides triage recommendation at the point of care, irrespective of the completeness of the clinical information. It also allows for data capture and interaction with the hospital´s information system. Given mobility of MET and its easy to use features, we are proposing a system that can both support evidence based emergency room patient care, and at the same time, streamline the bedside triage of a child with abdominal pain.
Keywords
decision support systems; fuzzy set theory; medical information systems; mobile computing; notebook computers; paediatrics; patient care; rough set theory; Palm handheld; bedside triage recommendation; childhood acute abdominal pain; childhood acute appendicitis; clinical information use; decision model; emergency room patient care; fuzzy measure; hospital information system; mobile client server architecture; mobile clinical triage support system; mobile emergency triage system; pediatric emergency department; retrospective data capture; rough set theory; Abdomen; Decision support systems; Erbium; Hospitals; Medical diagnostic imaging; Medical treatment; Pain; Paper technology; Pediatrics; Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on
Print_ISBN
0-7695-2056-1
Type
conf
DOI
10.1109/HICSS.2004.1265394
Filename
1265394
Link To Document