Interpretative framework of chronic disease management to guide textual guideline GEM-encoding.
The aim of this work is to develop an XML-based application for the automated generation of decision rules from a textual guideline encoded using the Guideline Elements Model (GEM). A formalization of guideline-based chronological steps of treatment has been proposed to resolve the semantic ambiguities of the original document. The GEM DTD has been extended in order to standardize both decision variable and action representations in recommendations. Under these assumptions, the 1999 Canadian Recommendations for the management of hypertension have been marked-up as a GEM-encoded instance of the extended DTD. An XML parser has been used to extract the relevant elements as IF and THEN clauses of decision rules. This GEM application generated 104 rules to be compared to the 98 rules manually developed from the same guideline during the ASTI project.
Georg
Gersende
G
Mission Recherche en Sciences et Technologies de l'Information Médicale, DSI, AP-HP, Paris, France. gge@biomath.jussieu.fr
Séroussi
Brigitte
B
Bouaud
Jacques
J
D002908:Chronic Disease / Q000628:therapy*; D020000:Decision Support Systems, Clinical; D019468:Disease Management; D005602:France; D006801:Humans; D006973:Hypertension / Q000517:prevention & control; D017410:Practice Guidelines as Topic; D011381:Programming Languages; D012660:Semantics