International Journal of Information Studies, Vol 1, No 4 (2009)
Automatic Query Generation from Computerized Clinical Guidelines
Zafar Hashmi, Tatjana Zrimec, Andrew Hopkins
Abstract
A framework has been developed that automatically generates context-specifi c query, and determines its query type, from computerized clinical practice guidelines (CPGs). The generated query can be submitted to PubMed using web services to retrieve and link relevant medical literature pertaining to the computerized CPGs content. This framework makes
use of contexts, semantics, statistical information and meta-information of the medical phrases in the Extended-Knowledge Components of the computerized CPG content. The medical literature retrieved and linked, by our framework, is found to be relevant to the knowledge of the computerized CPG.