From: Integrated electronic prescribing and robotic dispensing: a case study
Type of error | Proportion | Electronic prescribing prevents | Robot prevents | Electronic prescribing + Robot prevents |
---|---|---|---|---|
Of errors | ||||
wrong drug supplied | 23% | Y | Y | |
wrong strength of correct drug supplied | 23% | Y | Y | |
wrong quantity | 10% | Y | Y | |
wrong warnings or directions | 10% | Y | Y | |
wrong drug name on the label | 9% | Y | Y | |
wrong strength on label | 8% | Y | Y | |
wrong form | 7% | Y | Y | |
wrong patient name on label | 7% | Y | Y |