Abstract
Medication errors are one of the safety problems most frequently seen in hospital organizations. It is estimated that 12.2% of all hospitalized patients are involved in some form of adverse drug event (ADE). A significant amount of ADEs result from handing the incorrect drug to a patient or prescribing the wrong medication. Issuing of correct prescriptions is a foundation of patient safety. Many times it has happened thatdue to the doctor’s illegible handwriting, wrong prescriptions are bought by the customer. In this paper, variousmethods using artificial intelligence to identify drugs prescribed for patients and to minimise errors which havebeen happening before. Keywords: Look-Alike, Sound-Alike, Optical Identification, Pill Localisation, You Only Look Once
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