Literature DB >> 17502263

A practical approach for inexpensive searches of radiology report databases.

Benoit Desjardins1, R Curtis Hamilton.   

Abstract

RATIONALE AND
OBJECTIVES: We present a method to perform full text searches of radiology reports for the large number of departments that do not have this ability as part of their radiology or hospital information system.
MATERIALS AND METHODS: A tool written in Microsoft Access (front-end) has been designed to search a server (back-end) containing the indexed backup weekly copy of the full relational database extracted from a radiology information system (RIS). This front end-/back-end approach has been implemented in a large academic radiology department, and is used for teaching, research and administrative purposes.
RESULTS: The weekly second backup of the 80 GB, 4 million record RIS database takes 2 hours. Further indexing of the exported radiology reports takes 6 hours. Individual searches of the indexed database typically take less than 1 minute on the indexed database and 30-60 minutes on the nonindexed database. Guidelines to properly address privacy and institutional review board issues are closely followed by all users.
CONCLUSIONS: This method has potential to improve teaching, research, and administrative programs within radiology departments that cannot afford more expensive technology.

Mesh:

Year:  2007        PMID: 17502263     DOI: 10.1016/j.acra.2007.02.008

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  1 in total

1.  Evaluation of negation and uncertainty detection and its impact on precision and recall in search.

Authors:  Andrew S Wu; Bao H Do; Jinsuh Kim; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2009-11-10       Impact factor: 4.056

  1 in total

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