Rule based clinical decision support system for hematological disorder

Chen, Y.Y. and Goh, K.N. and Chong, K. (2013) Rule based clinical decision support system for hematological disorder. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Evidence Based Medicine (EBM) has become a popular approach to medical decision making. It is a method of assisting in clinical decision making by using the most relevant research evidence to answer clinical questions. Complete Blood Count (CBC) is one of the most commonly ordered blood test that could be done within minutes and is mostly used as a basis for further testing. Therefore, CBC could be used as a base to quickly diagnose a patient and later on, use external clinical evidence from systematic research to further diagnose the patient. This paper proposes the development of a clinical decision support system (CDSS) to assist physicians in evidence based practice. The system will be able to provide the list of external evidence (electronic medical journals) for each type of generated probable disease. Usability and user acceptance testing were conducted with a group of physicians and medical students. This study reveals some usability issues of the system and significant improvements that are required to improve the accuracy of the system in generating probable hematological disorder. © 2013 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 8; Conference of 2013 4th IEEE International Conference on Software Engineering and Service Science, ICSESS 2013 ; Conference Date: 23 May 2013 Through 25 May 2013; Conference Code:101371
Uncontrolled Keywords: Clinical decision making; Clinical decision support systems; Evidence-based medicine; Evidence-based practices; Hematological disorders; Medical decision making; Rule based; User acceptance testing, Acceptance tests; Artificial intelligence; Decision making; Decision support systems; Medicine, Software engineering
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:51
Last Modified: 09 Nov 2023 15:51
URI: https://khub.utp.edu.my/scholars/id/eprint/3247

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