When healthcare professionals (HCPs), patients, and other life sciences organizations request information about a company’s products, their questions are considered medical inquiries. These inquiries cover medications, dosages, side effects, disease states, and off-label uses. Pharmaceutical companies typically address these inquiries through dedicated medical information departments with scientists and medical professionals, ensuring accurate and unbiased information with strict adherence to regulations.
Medical inquiries come from various sources, such as Medical Information Requests (MIRs), advisory boards, and Medical Science Liaisons (MSLs). Analyzing MIR data reveals product safety and efficacy trends, advisory board discussions reflect broader medical community concerns, and MSL notes document real-world challenges healthcare providers face. Pharmaceutical companies can develop targeted communication strategies and educational materials by examining these sources. Research efforts can be prioritized. Combined, these efforts help improve product information, anticipate future inquiries, and better serve the needs of HCPs and patients.
A leading biotechnology company faced significant inefficiencies by manually analyzing 2,500 to 3,000 monthly entries from medical inquiries. To address this, Axtria implemented a robust solution integrating generative AI (GenAI), which streamlined the analysis process and enhanced the efficiency of the medical affairs team. Axtria’s GenAI-based solution delivered tangible benefits such as:
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Operational efficiency: The new Power-BI dashboard visualizes data trends, eliminating hours of manual labor and allowing experts to focus on more impactful tasks.
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Informed decision-making: Automated insight generation and trend analysis informed critical decisions, enhancing product safety and efficacy through robust data analysis.
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Time and resource savings: Natural language processing (NLP) automation significantly reduced manual work, allowing the team to allocate its time to more meaningful tasks and increasing overall efficiency.
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Enhanced communication and customer satisfaction: Dashboard insights empowered tailored communication strategies, improving customer relationships and satisfaction.
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Improved collaboration and team efficiency: Enhanced collaboration tools and automated insights aligned the team towards common goals, fostering innovation and continuous improvement.
By adopting streamlined, automated methodologies and cutting-edge GenAI technologies like NLP and large language models (LLM), the biotech company overcame longstanding challenges and unlocked new growth opportunities with rapid, accurate extraction of actionable insights from large data volumes.
Contact us at connect@axtria.com with any questions.
