A Review of Artificial Intelligence in Medical Prescription Analysis

Accurate reading and comprehension of medical prescriptions are crucial for healthcare providers to ensure appropriate treatment for the patients. However, with the growing volume of prescriptions and increasingly complex medication regimens, errors can occur, which can result in severe consequences. To mitigate this issue, Artificial Intelligence (AI) can automate tasks such as medication identification, dosage calculation, and drug interaction checks, potentially improving the accuracy and efficiency of prescription analysis. This research study intends to examine the latest AI-based approaches for analyzing medical prescriptions in the healthcare industry, which can aid in the development of diagnostic systems capable of extracting patients' medical history, identifying incorrect medications and conducting statistical analyses on prescribed drugs. By analyzing the current state-of-the-art techniques in this field, one can identify areas of improvement to enhance prescription analysis accuracy and efficiency, ultimately benefiting patient care and medication management.