Medication errors remain one of the most serious risks in clinical and pharmacy settings, often leading to severe health complications or fatalities. With new advancements in artificial intelligence, AI-enabled wearable cameras could change how drug dispensing errors are detected and prevented. These cameras, designed to monitor and verify drug vial and syringe matches in real time, offer a glimpse into the future of error prevention. While this technology holds promise for reducing medication-related harm, it also raises important legal questions about liability when mistakes occur.
<strong> How Can AI Reduce Pharmacy Errors?</strong>
Pharmacy errors happen for various reasons, from mislabeling and incorrect dosages to dispensing the wrong medication. Introducing AI cameras, such as those tested in hospital settings to detect vial swap errors, could help prevent these mistakes before they reach patients. These wearable cameras use deep learning algorithms to identify the drug type on a vial label and verify that it matches the medication being prepared. If an error is detected, the system can issue an alert, allowing pharmacists, anesthesiologists, or other medical professionals to correct the mistake before administration.
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