Prevent Medical Errors through Artificial Intelligence: A Review
Sharique Ahmad, Saeeda Wasim
Abstract
Medical errors are a significant concern in healthcare systems worldwide, posing risks to patient safety and quality of care. This narrative review aims to provide a comprehensive overview of medical errors, their types, causes, and potential solutions, based on current literature. The review highlights the importance of addressing medical errors through a multidisciplinary approach, including improved communication, enhanced education and training, the implementation of technology and artificial intelligence, and quality improvement initiatives. It also emphasizes the need for ongoing monitoring and reporting of medical errors to drive change and improve patient outcomes. Artificial intelligence (AI) has emerged as a transformative technology with significant potential to revolutionize healthcare. The application of AI in healthcare has opened up new avenues for improving diagnostics, treatment planning, patient monitoring, and healthcare management.