PubMed · 8049616
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R G Faber. 1993-08-07. Information overload.. https://doi.org/10.1136/bmj.307.6900.383
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We have developed a means for "browsing" an extremely large vocabulary of over 130,000 medical terms (SNOMED International, 3rd ed.). This vocabulary someday hopes to become a standard vocabulary and coding scheme for patient medical records. After obtaining the vocabulary in machine readable form (ASCII in standard data format--SDF) we wrote a meta program in Turbo Pascal which parsed and embedded control codes into an input file for importing the data into an "infobase" known as FolioVIEWS. Using this infobase, it became possible to rapidly and reliably navigate around the SNOMED vocabulary in a manner impossible with printed material. The FolioVIEWS search engine is robust and rapid and allows for easy access to the terms. The utility of the infobase in evaluating the SNOMED vocabulary has been quite good. The actual utility of SNOMED as a standard vocabulary remains to be evaluated.
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A high level representation of data would clarify the complex collection of medical concepts, terms and relationships derived from standard classifications that the Unified Medical Language System contains. A conceptual model is described which represents the data structure. A second objective of this conceptual model is to provide users with the capability to build queries to information databases as easily as possible on the basis of this data structure. The methods used to build this model are semantic networks and conceptual graphs. The object-oriented computational model which implements this conceptual model is detailed. It reuses part of the generic C++ classes of the National Institutes of Health library. New classes are added to this library to implement the needed functionalities.