Information Extraction Approach for Clinical Practice Guidelines Representation in a Medical Decision Support System

摘要: Errors in healthcare are a leading cause of death and injury. Kohn et al. (Kohn al., 2000) mention that, for example, preventable adverse events the United States. In their studies they state that at least 44,000 perhaps as many 98,000 americans die hospitals each year result medical errors. Similar scenarios other countries. This situation has motivated usage Clinical Practice Guidelines (CPGs) to reduce uncertainty clinical professional (nurses physicians) when making decisions about patient illness. documents containing guidelines structured recommendations defined by domain experts based on scientific evidence (Teije 2006; Twaddle, 2005). Thus CPGs provide guides make flexible specific health circumstances (Field & Lohr, 1990). The main objective is offer staff set focused helping diagnosis, prognosis, treatment goal enhance attention patients. Furthermore, CPG an important support itself his/her family understanding efficiency tool improve quality care. Because largely narrative form, sometimes ambiguous lack structure internal consistency, which them too complicated being understood directly computer. information usually contained plain texts, lists, diagrams, tables, annotations HTML, XHTML or PDF format. To this understandable computer, it required formal representation languages (Clercq 2004; Votruba 2004). sense, researchers have proposed different frameworks, approaches, languages, tools modelling, can be interpreted computers (Hripcsak 2005; Isern Moreno, 2008). Some these approaches orientation CPGs, others intended more general use several languages.