Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support System

The selection of appropriate wound products for the treatment of pressure injuries is paramount in promoting wound healing. However, nurses find it difficult to decide on the most optimal wound product(s) due to limited live experiences in managing pressure injuries resulting from successfully imple...

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Main Authors: Peck Chui Betty Khong, Leng Noey Lee, Apolino Ilagan Dawang
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Informatics
Subjects:
Online Access:https://www.mdpi.com/2227-9709/4/3/20
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spelling doaj-5d0e5c8f72774c53969da8ebf5a22c502020-11-24T23:42:45ZengMDPI AGInformatics2227-97092017-07-01432010.3390/informatics4030020informatics4030020Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support SystemPeck Chui Betty Khong0Leng Noey Lee1Apolino Ilagan Dawang2Tan Tock Seng Hospital Pte Ltd. 11 Jalan Tan Tock Seng, Singapore 308433, SingaporeTan Tock Seng Hospital Pte Ltd. 11 Jalan Tan Tock Seng, Singapore 308433, SingaporeIntegrated Health Information Systems Pte Ltd. (IHiS)2 6 Serangoon North Avenue 5, #01-01/02, Singapore 554910, SingaporeThe selection of appropriate wound products for the treatment of pressure injuries is paramount in promoting wound healing. However, nurses find it difficult to decide on the most optimal wound product(s) due to limited live experiences in managing pressure injuries resulting from successfully implemented pressure injury prevention programs. The challenges of effective decision-making in wound treatments by nurses at the point of care are compounded by the yearly release of wide arrays of newly researched wound products into the consumer market. A clinical decision support system for pressure injury (PI-CDSS) was built to facilitate effective decision-making and selection of optimal wound treatments. This paper describes the development of PI-CDSS with an expert knowledge base using an interactive development environment, Blaze Advisor. A conceptual framework using decision-making and decision theory, knowledge representation, and process modelling guided the construct of the PI-CDSS. This expert system has incorporated the practical and relevant decision knowledge of wound experts in assessment and wound treatments in its algorithm. The construct of the PI-CDSS is adaptive, with scalable capabilities for expansion to include other CDSSs and interoperability to interface with other existing clinical and administrative systems. The algorithm was formatively evaluated and tested for usability. The treatment modalities generated after using patient-specific assessment data were found to be consistent with the treatment plan(s) proposed by the wound experts. The overall agreement exceeded 90% between the wound experts and the generated treatment modalities for the choice of wound products, instructions, and alerts. The PI-CDSS serves as a just-in-time wound treatment protocol with suggested clinical actions for nurses, based on the best evidence available.https://www.mdpi.com/2227-9709/4/3/20clinical decision support systemsystem constructevidence-based expert systemdevelopmentpressure injurynurseswound treatment
collection DOAJ
language English
format Article
sources DOAJ
author Peck Chui Betty Khong
Leng Noey Lee
Apolino Ilagan Dawang
spellingShingle Peck Chui Betty Khong
Leng Noey Lee
Apolino Ilagan Dawang
Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support System
Informatics
clinical decision support system
system construct
evidence-based expert system
development
pressure injury
nurses
wound treatment
author_facet Peck Chui Betty Khong
Leng Noey Lee
Apolino Ilagan Dawang
author_sort Peck Chui Betty Khong
title Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support System
title_short Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support System
title_full Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support System
title_fullStr Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support System
title_full_unstemmed Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support System
title_sort modeling the construct of an expert evidence-adaptive knowledge base for a pressure injury clinical decision support system
publisher MDPI AG
series Informatics
issn 2227-9709
publishDate 2017-07-01
description The selection of appropriate wound products for the treatment of pressure injuries is paramount in promoting wound healing. However, nurses find it difficult to decide on the most optimal wound product(s) due to limited live experiences in managing pressure injuries resulting from successfully implemented pressure injury prevention programs. The challenges of effective decision-making in wound treatments by nurses at the point of care are compounded by the yearly release of wide arrays of newly researched wound products into the consumer market. A clinical decision support system for pressure injury (PI-CDSS) was built to facilitate effective decision-making and selection of optimal wound treatments. This paper describes the development of PI-CDSS with an expert knowledge base using an interactive development environment, Blaze Advisor. A conceptual framework using decision-making and decision theory, knowledge representation, and process modelling guided the construct of the PI-CDSS. This expert system has incorporated the practical and relevant decision knowledge of wound experts in assessment and wound treatments in its algorithm. The construct of the PI-CDSS is adaptive, with scalable capabilities for expansion to include other CDSSs and interoperability to interface with other existing clinical and administrative systems. The algorithm was formatively evaluated and tested for usability. The treatment modalities generated after using patient-specific assessment data were found to be consistent with the treatment plan(s) proposed by the wound experts. The overall agreement exceeded 90% between the wound experts and the generated treatment modalities for the choice of wound products, instructions, and alerts. The PI-CDSS serves as a just-in-time wound treatment protocol with suggested clinical actions for nurses, based on the best evidence available.
topic clinical decision support system
system construct
evidence-based expert system
development
pressure injury
nurses
wound treatment
url https://www.mdpi.com/2227-9709/4/3/20
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