Generating Different Views of Clinical Guidelines Using Ontology Based Semantic Annotation

Abstract

Clinical guidelines comprise collection of medical information related to clinical goals and are used by people having diverse information needs. Commonly users are only interested in information pertinent to their respective goals. Current clinical guidelines are largely textual in form and lack suitable mechanisms for extracting information relevant to different users. This paper proposes a method to extract information from clinical guidelines using a view based approach. Our view generation approach has four steps namely annotation, view description, view extraction and view presentation. As a case study, we have illustrated the proposed method using the CVD (Cardiovascular diseases) risk management guideline published by WHO by creating views for different clinical care settings.