Developing a Search Algorithm and a Visualization Tool for SNOMED CT

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.

Authors and Affiliations

Anthony Masi, Ankur Agrawal

Keywords

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  • EP ID EP142804
  • DOI 10.14569/IJACSA.2015.060403
  • Views 87
  • Downloads 0

How To Cite

Anthony Masi, Ankur Agrawal (2015). Developing a Search Algorithm and a Visualization Tool for SNOMED CT. International Journal of Advanced Computer Science & Applications, 6(4), 19-23. https://europub.co.uk/articles/-A-142804