Drug Name Similarity Index for Sound-Alikeness

Tomoyuki Nagata, Masaomi Kimura, Michiko Ohkura, Fumito Tsuchiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Drug name confusion is one of major medical errors. Some similar drug names can cause medical accidents. In order to solve this problem, the Ministry of Health, Labour and Welfare developed the drug name database system to prevent from authorizing drugs whose names are similar to existing drug names. Previous studies have been proposed the drug name similarity index based on look-alikeness. Despite of these efforts, the studies do not take account of drug name confusion caused by sound-alike. In this paper, we proposed the phonetic similarity index based on the features used in articulatory phonetics.

Original languageEnglish
Title of host publicationHCI International 2013 - Posters' Extended Abstracts - International Conference, HCI International 2013, Proceedings
PublisherSpringer Verlag
Pages197-201
Number of pages5
EditionPART II
ISBN (Print)9783642394751
DOIs
Publication statusPublished - 2013 Jan 1
Event15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: 2013 Jul 212013 Jul 26

Publication series

NameCommunications in Computer and Information Science
NumberPART II
Volume374
ISSN (Print)1865-0929

Conference

Conference15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period13/7/2113/7/26

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Keywords

  • Drug name confusion
  • Human error
  • Medical error
  • Name similarity index
  • Sound-alikeness

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Cite this

Nagata, T., Kimura, M., Ohkura, M., & Tsuchiya, F. (2013). Drug Name Similarity Index for Sound-Alikeness. In HCI International 2013 - Posters' Extended Abstracts - International Conference, HCI International 2013, Proceedings (PART II ed., pp. 197-201). (Communications in Computer and Information Science; Vol. 374, No. PART II). Springer Verlag. https://doi.org/10.1007/978-3-642-39476-8_41