Document Type : Letter to Editor

Authors

• Ali Torkamandi ¹
• Mohammadamin Shabani ¹
• Samira Khani ²

¹ Medical Student, Students Research Committee, Qom University of Medical Sciences, Qom, Iran

² Department of Physiology and Pharmacology, Faculty of Medicine, Neuroscience Research Center, Qom University of Medical Sciences, Qom, Iran

Abstract

The National Coordinating Council on Medication Error Reporting and Prevention (NCC MERP) defines a medication error (ME) as any preventable incident that could lead to the incorrect use of a medication or to patient harm at any point (1). Medication errors are a major healthcare issue, leading to severe problems like death, disability, and long-term harm. The most common preventable cause is side effects, accounting for 10–18% of hospital injuries (2,3). A study in England reports that about 237 million medication errors occur during various stages of the medication process, with 38.4% of them taking place in primary care. Although 72% of these errors had a minimal chance of causing harm, around 66 million were clinically significant. In primary care, prescribing was responsible for 34% of all potentially clinically important errors. It is estimated that Adverse Drug Events (ADEs) cost the NHS approximately 98.5 million pounds annually and cause 1,708 deaths (4).

Keywords

• Artificial intelligence
• medication errors
• pharmaceutical process

Main Subjects

• Bioinformatics