International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Designing a Generative AI Application for Market Research Analysis in Healthcare and Biomedical Space

Author(s) Anupkumar Ghogare
Country United States
Abstract The integration of generative AI models in healthcare market research analysis represents a significant advancement in how organizations process and derive insights from complex biomedical data. This article presents a novel framework for implementing multiple generative AI models (GPT-4, Claude 3.5, and Gemini 1.5) in a unified system for comprehensive market research analysis, with specific focus on nutrition and diagnostics sectors. Through a systematic approach to data ingestion, processing, and analysis, the implementation demonstrates superior capabilities in trend identification, competitive analysis, and consumer sentiment tracking. The proposed architecture leverages each model's unique strengths: GPT-4's advanced analytical capabilities, Claude 3.5's context-aware ethical reasoning, and Gemini 1.5's real-time processing advantages. Empirical evaluation of the system across multiple healthcare organizations reveals significant improvements in analysis efficiency (85% reduction in processing time), accuracy of market insights (92% correlation with expert analysis), and decision-making capabilities (73% increase in actionable recommendations). Furthermore, the implementation shows robust performance in handling diverse document types while maintaining compliance with healthcare data regulations. These findings suggest that integrated generative AI systems can substantially enhance market research capabilities in healthcare settings, providing organizations with deeper, more actionable insights while reducing analytical overhead.
Keywords Keywords: Generative AI, Healthcare Market Research, Natural Language Processing, Business Intelligence, Machine Learning.
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-21
Cite This Designing a Generative AI Application for Market Research Analysis in Healthcare and Biomedical Space - Anupkumar Ghogare - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30965
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.30965
Short DOI https://doi.org/

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