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Automated Method for Characterizing Concept Coverage in Medical Terminologies

by Swati Singh ยท 2018

ISBN: 035596743X 9780355967432

Category: Unavailable

Page count: Unavailable

In the era of electronic health system, the delivery of health data in a standardized form is of great importance. Health terminologies and vocabularies are the primary source of standardized health data encoding. Hence, it is necessary to keep terminological systems current and monitor their content, keeping them up-to-date by measuring their content coverage against dynamic health data regularly. This research is focused on implementing an automated methodology for concept coverage verification in the dental domain of healthcare. The aim of this research is to develop a generic modular tool which uses an automated process capable of producing measures of the concept coverage of a terminology system in a biomedical domain. A unique list of dental terms was obtained from the index of a dental (Oral Pathology) textbook for the analysis of term and concept coverage in SNOMED CT using the tool. The demonstration of this tool for measuring the term coverage in other terminologies (such as MeSH, ICD-10-CM and CDT) has also been briefly discussed. The comparative analysis among these terminologies showed that SNOMED CT has the highest term coverage in dental domain.