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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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 |
work_keys_str_mv |
AT peckchuibettykhong modelingtheconstructofanexpertevidenceadaptiveknowledgebaseforapressureinjuryclinicaldecisionsupportsystem AT lengnoeylee modelingtheconstructofanexpertevidenceadaptiveknowledgebaseforapressureinjuryclinicaldecisionsupportsystem AT apolinoilagandawang modelingtheconstructofanexpertevidenceadaptiveknowledgebaseforapressureinjuryclinicaldecisionsupportsystem |
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