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Summary: BiRD: A Strategy to Autonomously Supplement Clinical Practice Guidelines with
Related Clinical Studies
Syed Sibte Raza Abidi, Micheal Kershaw & Evangelos Milios
Health Informatics Lab, Faculty of Computer Science, Dalhousie University, Halifax, Canada
sraza@cs.dal.ca
Abstract
In this paper we introduce a framework to supplement
and tag computerized CPG with related best-evidence
automatically sourced from on-line medical literature
repositories. The idea is to provide CPG users with
additional published evidence pertaining to the different
sections of a CPG of their interest. We present a web-
enabled Best-evidence Retrieval and Delivery (BiRD)
system that autonomously retrieves pertinent medical
literature with respect to user-specified content from a
GEM-encoded CPG. This is achieved via a multi-level
literature search strategy that uses the actual CPG
content to autonomously generate a search query. The
featured search strategy firstly categorizes the search
query towards a priori defined clinical query subjects and
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