Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology

Shortage of medical professionals in the rural area has been one of the reasons why maternal mortality is still very high.Midwife family program had been introduced to overcome the shortage but the lack of skills in recognizing high risk pregnancy becomes another factor of high maternal mortality ra...

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Main Authors: Lam, Jostinah, Abdullah, Mohd Syazwan, Supriyanto, Eko
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2015
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/14191/1/jeas_0215_1585.pdf
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author Lam, Jostinah
Abdullah, Mohd Syazwan
Supriyanto, Eko
author_facet Lam, Jostinah
Abdullah, Mohd Syazwan
Supriyanto, Eko
author_sort Lam, Jostinah
collection UUM
description Shortage of medical professionals in the rural area has been one of the reasons why maternal mortality is still very high.Midwife family program had been introduced to overcome the shortage but the lack of skills in recognizing high risk pregnancy becomes another factor of high maternal mortality rate.A good prenatal care program will help to identify the danger in time and provide early management.Therefore, this paper provides solution by introducing a new architecture of clinical decision support system (CDSS) in the domain of high risk pregnancy. The proposed architecture is composed of seven main components.The ontological approach was used to develop the knowledge repository in the CDSS architecture.The need for CDSS was investigated through interview session, questionnaire distribution and observation.In addition, the comparison with other CDSSs approach is also highlighted in the paper.
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spelling uum-141912016-04-27T06:23:53Z https://repo.uum.edu.my/id/eprint/14191/ Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology Lam, Jostinah Abdullah, Mohd Syazwan Supriyanto, Eko QA76 Computer software Shortage of medical professionals in the rural area has been one of the reasons why maternal mortality is still very high.Midwife family program had been introduced to overcome the shortage but the lack of skills in recognizing high risk pregnancy becomes another factor of high maternal mortality rate.A good prenatal care program will help to identify the danger in time and provide early management.Therefore, this paper provides solution by introducing a new architecture of clinical decision support system (CDSS) in the domain of high risk pregnancy. The proposed architecture is composed of seven main components.The ontological approach was used to develop the knowledge repository in the CDSS architecture.The need for CDSS was investigated through interview session, questionnaire distribution and observation.In addition, the comparison with other CDSSs approach is also highlighted in the paper. Asian Research Publishing Network (ARPN) 2015-02 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/14191/1/jeas_0215_1585.pdf Lam, Jostinah and Abdullah, Mohd Syazwan and Supriyanto, Eko (2015) Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology. ARPN Journal of Engineering and Applied Sciences, 10 (3). 1229 -1237. ISSN 1819-6608 http://www.arpnjournals.com/
spellingShingle QA76 Computer software
Lam, Jostinah
Abdullah, Mohd Syazwan
Supriyanto, Eko
Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology
title Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology
title_full Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology
title_fullStr Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology
title_full_unstemmed Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology
title_short Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology
title_sort architecture for clinical decision support system cdss using high risk pregnancy ontology
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/14191/1/jeas_0215_1585.pdf
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