Abstract
This paper presents a novel information retrieval system designed specifically for medical case finding applications. The proposed system begins by extracting medical information from free-text narrative reports and storing it in a predefined relational clinical data mart. The extraction is performed using a medical thesaurus and a regular expression pattern match. Following the extraction phase, inclusion/exclusion criteria are provided to the system using a physician-friendly user interface. The system converts the entered criteria into a single SQL command which can be then executed on the relational data mart. In order to achieve the appropriate response time required for on-line analysis, the system implements several caching mechanisms. The proposed system has been examined on real-world database. The performance of the system has been compared to the results obtained manually by a physician. The comparison indicates that the proposed system can be used for non-critical case-finding applications such as: finding appropriate patients for clinical trials.
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Rokach, L., Maimon, O., Averbuch, M. (2004). Information Retrieval System for Medical Narrative Reports. In: Christiansen, H., Hacid, MS., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2004. Lecture Notes in Computer Science(), vol 3055. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25957-2_18
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DOI: https://doi.org/10.1007/978-3-540-25957-2_18
Publisher Name: Springer, Berlin, Heidelberg
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