Enhancing Medical Drug Communication through Strategic Engineering approach: The case study of Gardasil communication using Agent-Based Modeling, Sentiment Analysis and LLMs

Effective communication about medical drugs is critical to public health, influencing patient awareness, healthcare decisions, and vaccine acceptance. This thesis explores an innovative, strategic engineering approach to enhancing medical drug communication, focusing on Gardasil, a vaccine crucial in preventing Human Papillomavirus (HPV)-related diseases and approuved by FDA (Food Drug Administration Authority) in US on 8th June 2006. By integrating Agent-Based Modeling (ABM), Sentiment Analysis, and Large Language Models (LLMs), this study offers a multidisciplinary framework to assess and optimize communication strategies in medical contexts. The research employs ABM to simulate complex interactions between key stakeholders, including healthcare providers, policymakers, and the public. Sentiment Analysis provides quantitative insights into public perception by examining attitudes and emotional responses within communication channels, such as social media and public health campaigns. LLMs, using advanced natural language processing, enable evaluation of textual communication, generating data-driven recommendations for processing full and ethically sound messaging. The case study of Gardasil communication serves as a practical application to validate the framework. Analysis of historical and contemporary messaging strategies identifies barriers to vaccine uptake and potential avenues for improvement. By triangulating data from multiple sources, this thesis not only uncovers patterns of misinformation and emotional triggers but also presents actionable insights for enhancing clarity, trust, and engagement in medical communication. This research contributes to the field of medical communication by bridging simulation-based strategic modeling, computational sentiment analysis, and AI-driven linguistic analysis. The proposed framework has implications beyond the Gardasil case, offering a scalable and adaptable solution for addressing communication challenges in diverse medical contexts.