Intelligent Medical Assistance: Generic Medications Recommender System

In the world of generic drugs, emphasizing their primary benefits, which revolve around their low cost and widespread availability. The absence of significant costs associated with the development and marketing of a novel drug accounts for generic drugs’ cost-effectiveness. When a pharmaceutical company’s exclusive patent rights to a novel medication expire, it allows other manufacturers to make generic equivalents. This rivalry undoubtedly results in a large drop in the prices of these generic medications. However, a real issue arises since many patients, particularly those with lower incomes, are unaware of these cost-effective choices. To address this issue, the abstract suggests a viable solution in the form of a software program. This software uses modern technologies including Optical Character Recognition (OCR), Entity Extraction, and Cosine Similarity to bring innovation to healthcare. The major purpose of this software is to increase healthcare inclusion and accessibility. It accomplishes this by reading prescriptions, extracting key information, and recommending comparable generic medications. The suggested technological framework not only promises to streamline operations, but also to eliminate errors, thereby improving the efficiency and quality of patient care. The overarching goal is to help modernize healthcare by using these technologies to make vital treatments more accessible and cheaper to a larger population.