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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%