Developing an ontology for representing knowledge in evidence-based medicine.

The practice of Evidence-Based medicine (EBM) has been strongly advocated in today's field of medicine. It marks a new paradigm shift for medical practice, by directing clinical decision-making towards examinations of evidence from clinical researches and drives patient safety and quality care....

Full description

Saved in:
Bibliographic Details
Main Author: Hoi, Shu Yin.
Other Authors: Khoo Soo Guan, Christopher
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/41520
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-41520
record_format dspace
spelling sg-ntu-dr.10356-415202019-12-10T12:12:20Z Developing an ontology for representing knowledge in evidence-based medicine. Hoi, Shu Yin. Khoo Soo Guan, Christopher Wee Kim Wee School of Communication and Information DRNTU::Library and information science::Libraries::Knowledge management DRNTU::Science::Medicine The practice of Evidence-Based medicine (EBM) has been strongly advocated in today's field of medicine. It marks a new paradigm shift for medical practice, by directing clinical decision-making towards examinations of evidence from clinical researches and drives patient safety and quality care. The practice of EBM has however been limited by two factors: lack of physicians' knowledge on EBM principles and difficulty in retrieving quality research information. The lack of an existing knowledge representation for EBM further accentuates these limiting factor. A EBM-Practice ontology is being developed to model the knowledge required for the evaluation and application of EBM such that evidence in clinical research literature can be represented adequately and subsequently deployable in information systems for better retrieval. Master of Science (Knowledge Management) 2010-07-16T04:34:06Z 2010-07-16T04:34:06Z 2008 2008 Thesis http://hdl.handle.net/10356/41520 en Nanyang Technological University 127 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Library and information science::Libraries::Knowledge management
DRNTU::Science::Medicine
spellingShingle DRNTU::Library and information science::Libraries::Knowledge management
DRNTU::Science::Medicine
Hoi, Shu Yin.
Developing an ontology for representing knowledge in evidence-based medicine.
description The practice of Evidence-Based medicine (EBM) has been strongly advocated in today's field of medicine. It marks a new paradigm shift for medical practice, by directing clinical decision-making towards examinations of evidence from clinical researches and drives patient safety and quality care. The practice of EBM has however been limited by two factors: lack of physicians' knowledge on EBM principles and difficulty in retrieving quality research information. The lack of an existing knowledge representation for EBM further accentuates these limiting factor. A EBM-Practice ontology is being developed to model the knowledge required for the evaluation and application of EBM such that evidence in clinical research literature can be represented adequately and subsequently deployable in information systems for better retrieval.
author2 Khoo Soo Guan, Christopher
author_facet Khoo Soo Guan, Christopher
Hoi, Shu Yin.
format Theses and Dissertations
author Hoi, Shu Yin.
author_sort Hoi, Shu Yin.
title Developing an ontology for representing knowledge in evidence-based medicine.
title_short Developing an ontology for representing knowledge in evidence-based medicine.
title_full Developing an ontology for representing knowledge in evidence-based medicine.
title_fullStr Developing an ontology for representing knowledge in evidence-based medicine.
title_full_unstemmed Developing an ontology for representing knowledge in evidence-based medicine.
title_sort developing an ontology for representing knowledge in evidence-based medicine.
publishDate 2010
url http://hdl.handle.net/10356/41520
_version_ 1681043772157198336