AI-Enabled Brand-to-Generic Medication Recommendation System for Pharmacy: Addressing Consumer Brand-Name Bias
- Title
- AI-Enabled Brand-to-Generic Medication Recommendation System for Pharmacy: Addressing Consumer Brand-Name Bias
- Creator
- Joan Sandeep Larson, M.; Sivakumar, R.; Murugesan, Ranjani
- Description
- In countries like India, many people choose branded medicines over equally effective generic options, which drives up healthcare costs. This paper introduces a smart recommendation system that can tell whether a medication query is about a brand-name or a generic drug. It then offers more affordable alternatives based on the active ingredients. By using natural language processing and retrieval-augmented generation (RAG) with a detailed medicine database, the system accurately classifies and recommends options. Its conversational interface mimics a real pharmacy interaction, helping users make informed choices while saving money. Tests show the system responds quickly, usually within 7 seconds, and provides accurate answers over 80 % of the time for straightforward queries. Ultimately, this tool addresses the information gaps about generic drugs and branded ones and is easy to use for both consumers and pharmacists. 2026 IEEE.
- Source
- 2026 International Conference on Communication, Computing and Emerging Technologies, IC3ET 2026;pp.358-363
- Date
- 01-01-2026
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- brand-generic classification; healthcare cost reduction; medicine recommendation; natural language processing; pharmaceutical alternatives; retrieval-augmented generation (RAG)
- Coverage
- Joan Sandeep Larson M., Statistics and Data Science, CHRIST (Deemed to Be University), Bangalore, India; Sivakumar R., Statistics and Data Science, CHRIST (Deemed to Be University), Bangalore, India; Murugesan R., Statistics and Data Science, CHRIST (Deemed to Be University), Bangalore, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833158105-3;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Joan Sandeep Larson, M.; Sivakumar, R.; Murugesan, Ranjani, “AI-Enabled Brand-to-Generic Medication Recommendation System for Pharmacy: Addressing Consumer Brand-Name Bias,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25883.