Author: Dr. Priyanka Mehra, Dr. Rohit Sinha
Abstract: The rapid advancement in artificial intelligence (AI) and natural language processing (NLP) technologies has enabled new opportunities in healthcare, particularly in the field of medication management and patient engagement. The DrugChat System is an AI-driven interactive platform designed to facilitate real-time communication between patients and healthcare providers regarding drugs, their usage, side effects, interactions, and personalized recommendations. Unlike conventional digital health platforms, DrugChat leverages machine learning algorithms and extensive pharmacological databases to provide accurate, user-friendly, and context-specific information. This paper explores the architecture, functionality, applications, challenges, and future scope of the DrugChat System. It also emphasizes the potential impact of such systems in improving patient adherence, reducing medication errors, and supporting healthcare professionals in clinical decision-making.
Keywords:- DrugChat System, Artificial Intelligence, Medication Management, Patient Engagement, Healthcare Technology, Natural Language Processing, Drug Interactions, Clinical Decision Support.
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