title: Conceptual search in electronic patient record.
abstract: Search by content in a large corpus of free texts in the medical domain is, today, only partially solved. The so-called GREP approach (Get Regular Expression and Print), based on highly efficient string matching techniques, is subject to inherent limitations, especially its inability to recognize domain specific knowledge. Such methods oblige the user to formulate his or her query in a logical Boolean style; if this constraint is not fulfilled, the results are poor. The authors present an enhancement to string matching search by the addition of a light conceptual model behind the word lexicon. The new system accepts any sentence as a query and radically improves the quality of results. Efficiency regarding execution time is obtained at the expense of implementing advanced indexing algorithms in a pre-processing phase. The method is described and commented and a brief account of the results illustrates this paper.
authors.affiliation: Medical Informatics Division, University Hospital of Geneva, Switzerland. Robert.Baud@dim.hcuge.ch
authors.forename: R H
authors.initials: RH
authors.lastname: Baud
authors.forename: C
authors.initials: C
authors.lastname: Lovis
authors.forename: P
authors.initials: P
authors.lastname: Ruch
authors.forename: A M
authors.initials: AM
authors.lastname: Rassinoux
mesh_terms: D001185:Artificial Intelligence; D016247:Information Storage and Retrieval / Q000379:methods*; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing