Abstract
Look-alike and Sound-alike drug names are related to medication errors where doctors, nurses, and pharmacists prescribe and administer the wrong medication. Bisim similarity is reported as the best orthographic measure to identifying confusable drug names, but it lacks from a similarity scale between the bigrams of a drug name. In this paper, we propose a Soft-Bisim similarity measure that extends to the Bisim to soften the comparison scale between the Bigrams of a drug name for improving the detection of confusable drug names. In the experimentation, Soft-Bisim outperforms others 17 similarity measures for 396,900 pairs of drug names. In addition, the average of four measures is outperformed when Bisim is replaced by Soft-Bisim similarity.
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