Welcome to the InfoSci Platform
Documents and Topic Maps: An Original way to Manage Medical Records

Documents and Topic Maps: An Original way to Manage Medical Records

Frederique Laforest, Christine Verdier
Copyright: © 2007 |Volume: 2 |Issue: 4 |Pages: 19
ISSN: 1555-3396|EISSN: 1555-340X|ISSN: 1555-3396|EISBN13: 9781615202959|EISSN: 1555-340X|DOI: 10.4018/jhisi.2007100102
Cite Article Cite Article

MLA

Laforest, Frederique, and Christine Verdier. "Documents and Topic Maps: An Original way to Manage Medical Records." IJHISI vol.2, no.4 2007: pp.22-40. http://doi.org/10.4018/jhisi.2007100102

APA

Laforest, F. & Verdier, C. (2007). Documents and Topic Maps: An Original way to Manage Medical Records. International Journal of Healthcare Information Systems and Informatics (IJHISI), 2(4), 22-40. http://doi.org/10.4018/jhisi.2007100102

Chicago

Laforest, Frederique, and Christine Verdier. "Documents and Topic Maps: An Original way to Manage Medical Records," International Journal of Healthcare Information Systems and Informatics (IJHISI) 2, no.4: 22-40. http://doi.org/10.4018/jhisi.2007100102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Medical records have been used for a long time with different forms, aims, and usages. This heterogeneity is the result of different professions, ways of working, and needs. It is but prejudicial to querying and sharing data and documents. Moreover, we consider that the system must be as close as possible to a more classical, noncomputerized way of working, such as paper-based medical record, and should thus manage documents. Medical records are often loosely or semistructured documents, impeding easy retrieval. In our approach, a medical record is considered as a set of documents and a set of data. In this article, we propose a software system useful for extracting data from loosely-structured documents coming from different sources and for querying them in a hybrid way. Querying can be done in a navigation space which represents extracted data or entire documents. Two main parts are described: the extraction of data in loosely-structured documents and the navigation in a unified view of documents and data.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.