Information retrieval system for medical narrative reports

Lior Rokach, Oded Maimon, Mordechai Averbuch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper presents a novel information retrieval system designed specifically for medical case finding applications. The proposedsystem begins by extracting medical information from free-text narrative reports and storing it in a predefined relational clinical data mart. Theextraction is performed using a medical thesaurus and a regular expression pattern match. Following the extraction phase, inclusion/exclusioncriteria are provided to the system using a physician-friendly user interface. The system converts the entered criteria into a single SQL commandwhich can be then executed on the relational data mart. In order to achieve the appropriate response time required for on-line analysis, thesystem implements several caching mechanisms. The proposed system has been examined on real-world database. The performance of the systemhas been compared to the results obtained manually by a physician. The comparison indicates that the proposed system can be used for noncriticalcase-finding applications such as: finding appropriate patients for clinical trials.

Original languageEnglish
Title of host publicationFlexible Query Answering Systems
EditorsHenning Christiansen, Troels Andreasen, Mohand-Said Hacid, Henrik Legind Larsen
PublisherSpringer Verlag
Number of pages12
ISBN (Print)3540221603, 9783540221609
StatePublished - 2004
Event6th International Conference on Flexible Query Answering Systems, FQAS 2004 - Lyon, France
Duration: 24 Jun 200426 Jun 2004

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
ISSN (Print)0302-9743


Conference6th International Conference on Flexible Query Answering Systems, FQAS 2004


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