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Table 1 Frequency and type of dispensing errors as reported by Smith (2005)

From: Integrated electronic prescribing and robotic dispensing: a case study

Type of error Proportion %
wrong drug supplied 23%
wrong strength of correct drug supplied 23%
wrong quantity 10%
wrong warnings or directions 10%
wrong drug name on the label 9%
wrong strength on label 8%
wrong form 7%
wrong patient name on label 7%