@inproceedings{4a9d160b37154e4a9b1b39a535727364,
title = "Drug Name Similarity Index for Sound-Alikeness",
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.",
keywords = "Drug name confusion, Human error, Medical error, Name similarity index, Sound-alikeness",
author = "Tomoyuki Nagata and Masaomi Kimura and Michiko Ohkura and Fumito Tsuchiya",
year = "2013",
doi = "10.1007/978-3-642-39476-8_41",
language = "English",
isbn = "9783642394751",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
number = "PART II",
pages = "197--201",
booktitle = "HCI International 2013 - Posters' Extended Abstracts - International Conference, HCI International 2013, Proceedings",
edition = "PART II",
note = "15th International Conference on Human-Computer Interaction, HCI International 2013 ; Conference date: 21-07-2013 Through 26-07-2013",
}