A REVIEW OF DEVELOPED INFORMATION SYSTEMS FOR PAIN MANAGEMENT IN PATIENTS WITH SPINAL CORD INJURY

GhaziI Saedi | Shahram Tahmasebian | pirhossein kolivand | REZA Safdari | Nasr HeidarabadiI

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=159056
Date :  2017/07/02
Publish in :     Acta Medica Mediterranea

Link :  http://eprints.skums.ac.ir/5652/1/22.pdf
Keywords :ain, spinal cord injury, expert systems, clinical decision support systems (CDS System).

Abstract :

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ain is one of the most disabling problems in people with Spinal Cord Injury. An interdisciplinary pain management team includes healthcare providers from different disciplines, each of them specialized in various characteristics of pain, and all should be coordinated so that the optimum results will be achieved. Information technology has been used in various domains of medicine. The aim of this study was to review relevant articles and find out power and weak points in pain management developed information systems and technologies used in these systems in the spinal cord injury population. Research method: A literature review was established to search developed information systems for pain management of patient with spinal cord injury, e-journals collections, and printed journals, books, dissertations, and theses for relevant articles. The search strategy interchangeably used the terms of “spinal cord injury”, “pain management system”, “expert system” and “clinical decision support system” combined with Boolean operator “AND”. Search results (n=184) were adjusted for duplications, screened based on their abstract relevancy and full-text availability (n=93) and then assessed for eligibility (n=47). Eligible articles were included if they had explicitly focused on information systems for pain management, finally, 18 relevant articles included in the study. Results: Reviewing 18 articles published in English from 2007 to 2016 showed that computerized CDS systems may minimize pain mismanagements by nearly 60, decrease hospital stay, and optimize co-morbidities management. The results of the system showed an accuracy …