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DOI: 10.14569/IJACSA.2015.060403
PDF

Developing a Search Algorithm and a Visualization Tool for SNOMED CT

Author 1: Anthony Masi
Author 2: Ankur Agrawal

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 4, 2015.

  • Abstract and Keywords
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Abstract: With electronic health records rising in popularity among hospitals and physicians, the SNOMED CT medical terminology has served as a valuable standard for those looking to exchange a variety of information linked to clinical knowledge bases, information retrieval, and data aggregation. However, SNOMED CT is distributed as a flat file database by the International Health Terminology Standards Development Organization and visualization of data can be a problem. This study describes an algorithm that allows a user to easily search SNOMED CT for identical or partial matches utilizing indexing and wildcard matching through a graphical user interface developed in the cross-platform programming language Java. In addition to this, the algorithm displays corresponding relationships and other relevant information pertaining to the search term. The outcome of this study can serve as a useful visualization tool for those looking to delve into the increasingly standardized world of electronic health records as well as a tool for healthcare providers who may be seeking specific clinical information contained in the SNOMED CT database.

Keywords: SNOMED CT; electronic; health records; visualization; search algorithm; GUI

Anthony Masi and Ankur Agrawal, “Developing a Search Algorithm and a Visualization Tool for SNOMED CT” International Journal of Advanced Computer Science and Applications(IJACSA), 6(4), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060403

@article{Masi2015,
title = {Developing a Search Algorithm and a Visualization Tool for SNOMED CT},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060403},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060403},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {4},
author = {Anthony Masi and Ankur Agrawal}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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