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Title:
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ENGINEERING TECHNIQUES AND METHODS TOWARDS IMPLEMENTATION OF CPG-KNOWLEDGE COMPUTERIZATION FRAMEWORK |
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Author(s):
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Zafar Hashmi , Tatjana Zrimec , Iztok Lajovic |
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ISBN:
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978-972-8924-81-2 |
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Editors:
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Mário Macedo |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Engineering of CPG computerization, Knowledge representation, Medical terms identification, UMLS |
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Type:
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Full Paper |
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First Page:
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155 |
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Last Page:
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162 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Evidence-based medical knowledge is deemed important for effective decision making at point of care in healthcare
industry. Clinical practice guidelines (CPGs) are being developed to bring best evidence based practices at point of care.
To make efficient use of such evidence based knowledge, it has been argued that effective computerization of CPG is
needed so as to use them with clinical decision support systems. Context-sensitivity, semantic relevancy, and important
meta-info pertaining to CPGs knowledge content are effective in CPGs computerization. These attributes play important
role for identifying and retrieving contextually sensitive and semantically relevant knowledge from CPGs. Such
knowledge computerization requires (i) a knowledge management framework, (ii) a set of information extraction
algorithms, and (iii) efficient engineering strategies and implementation techniques. In this paper, we present used
engineering techniques and developed medical term-identification methods for CPG computerization. We also describe
the functional workflow of the developed techniques together with implementation of our CPG-knowledge
computerization framework. |
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