Enhancing Patient Safety with Machine Learning: Automating the Interpretation of Handwritten Medical Prescriptions

This research investigates the development of a deep learning-based system for accurate and efficient recognition of handwritten medical prescriptions. The system utilizes advanced OCR techniques to accurately transcribe handwritten text, minimizing the risk of errors commonly associated with manual interpretation. By leveraging a comprehensive database of medications and their characteristics, the system can cross-reference the transcribed information to identify potential medications and suggest suitable alternatives based on the patient's reported symptoms. This system aims to improve the accuracy and efficiency of prescription interpretation, reduce medication errors, and enhance patient safety.