Literature DB >> 15778790

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

W Michalowski1, R Slowinski, S Wilk, K J Farion, J Pike, S Rubin.   

Abstract

OBJECTIVES: Our objective was to design and develop a mobile clinical decision support system for emergency triage of different acute pain presentations. The system should interact with existing hospital information systems, run on mobile computing devices (handheld computers) and be suitable for operation in weak-connectivity conditions (with unstable connections between mobile clients and a server).
METHODS: The MET (Mobile Emergency Triage) system was designed following an extended client-server architecture. The client component, responsible for triage decision support, is built as a knowledge-based system, with domain ontology separated from generic problem solving methods and used for the automatic creation of a user interface.
RESULTS: The MET system is well suited for operation in the Emergency Department of a hospital. The system's external interactions are managed by the server, while the MET clients, running on handheld computers are used by clinicians for collecting clinical data and supporting triage at the bedside. The functionality of the MET client is distributed into specialized modules, responsible for triaging specific types of acute pain presentations. The modules are stored on the server, and on request they can be transferred and executed on the mobile clients. The modular design provides for easy extension of the system's functionality. A clinical trial of the MET system validated the appropriateness of the system's design, and proved the usefulness and acceptance of the system in clinical practice.
CONCLUSIONS: The MET system captures the necessary hospital data, allows for entry of patient information, and provides triage support. By operating on handheld computers, it fits into the regular emergency department workflow without introducing any hindrances or disruptions. It supports triage anytime and anywhere, directly at the point of care, and also can be used as an electronic patient chart, facilitating structured data collection.

Entities:  

Mesh:

Year:  2005        PMID: 15778790

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  11 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.  A prototype user interface for a mobile electronic clinical note entry system.

Authors:  Atif Zafar
Journal:  AMIA Annu Symp Proc       Date:  2005

3.  Engineering of a clinical decision support framework for the point of care use.

Authors:  Szymon Wilk; Wojtek Michalowski; Dympna O'Sullivan; Ken Farion; Stan Matwin
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

Review 4.  Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems.

Authors:  Phil Gooch; Abdul Roudsari
Journal:  J Am Med Inform Assoc       Date:  2011-07-01       Impact factor: 4.497

5.  Using a Bayesian belief network model to categorize length of stay for radical prostatectomy patients.

Authors:  Wojtek Michalowski; Szymon Wilk; Anthony Thijssen; Mingmei Li
Journal:  Health Care Manag Sci       Date:  2006-11

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

Authors:  Guilherme Wunsch; Cristiano A da Costa; Rodrigo R Righi
Journal:  J Med Syst       Date:  2017-03-10       Impact factor: 4.460

7.  Clinicians' perceptions of organizational readiness for change in the context of clinical information system projects: insights from two cross-sectional surveys.

Authors:  Guy Paré; Claude Sicotte; Placide Poba-Nzaou; George Balouzakis
Journal:  Implement Sci       Date:  2011-02-28       Impact factor: 7.327

8.  Comparison of adaptive neuro-fuzzy inference system and artificial neutral networks model to categorize patients in the emergency department.

Authors:  Dhifaf Azeez; Mohd Alauddin Mohd Ali; Kok Beng Gan; Ismail Saiboon
Journal:  Springerplus       Date:  2013-08-29

Review 9.  Advancing clinical decision support using lessons from outside of healthcare: an interdisciplinary systematic review.

Authors:  Helen W Wu; Paul K Davis; Douglas S Bell
Journal:  BMC Med Inform Decis Mak       Date:  2012-08-17       Impact factor: 2.796

Review 10.  Towards pervasive computing in health care - a literature review.

Authors:  Carsten Orwat; Andreas Graefe; Timm Faulwasser
Journal:  BMC Med Inform Decis Mak       Date:  2008-06-19       Impact factor: 2.796

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