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% |