Abstract : Information Retrieval (IR) in Electronic Health Records (EHRs) should provide healthcare professionals with accurate information to the right person at the right time and place. It should also reduce the difficult tasks of manual information retrieval from records in a paper format or computers. In this paper, a flexible, scalable and multi-layer object-oriented query language is described. It is designed for retrieving and viewing data which support any conceptual schema. The search engine deals with structured and unstructured data. Several types of queries on test databases containing some 200,000 anonymized records from 2,000 patients were tested. These queries were able to accuratly treat with symbolic, textual, numerical and chronological data.
http://www.hal.inserm.fr/inserm-01154970
Contributeur : Frédérique Frouin
<>
Soumis le : lundi 25 mai 2015 - 19:44:06
Dernière modification le : lundi 1 octobre 2018 - 09:58:08
Document(s) archivé(s) le : jeudi 20 avril 2017 - 07:56:46
Romain Lelong, Chloé Cabot, Tayeb Merabti, Julien Grosjean, Nicolas Griffon, et al.. Information Retrieval in Electronic Health Records Using a Multiple Layer Query Language. Journées RITS 2015, Mar 2015, Dourdan, France. Actes des Journées RITS 2015, 2015. 〈inserm-01154970〉
