Navigating through very large sets of medical records: an information retrieval evaluation architecture for non-standardized text

Authors:
Markus Kreuzthaler;Marcus Bloice;Klaus-Martin Simonic;Andreas Holzinger
Affiliations:
Institute for Medical Informatics, Statistics and Documentation, Graz, Austria;Institute for Medical Informatics, Statistics and Documentation, Graz, Austria;Institute for Medical Informatics, Statistics and Documentation, Graz, Austria;Institute for Medical Informatics, Statistics and Documentation, Graz, Austria
Venue:
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
Year:
2011

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Abstract

Despite the prevalence of informatics and advanced information systems, there exists large amounts of unstructured text data. This is especially true in medicine and health care, where free text is an indispensable part of information representation. In this paper, the motivation behind developing information retrieval systems in medicine and health care is described. An overview of information retrieval evaluation is given, before describing the architecture and the development of an extendible information retrieval evaluation framework. This framework allows different information retrieval tools to be compared to a gold standard in order to test its effectiveness. The paper also gives a review of available gold standards which can be used for research purposes in the area of information retrieval of medical free texts.