The rapid emergence of AI with recent innovations in Large Language models (LLMs) such as ChatGPT is having a profound impact on various industries. This technological advancement is being likened to the breakthrough of electricity, which had a profound impact on various industries. This article will delve into AI use cases pertinent to diverse pharma stakeholders.
Commercial Analytics:
Leverage LLMs to gain real-time, comprehensive insights into online discussions and opinions among physicians and patients. Examples include:
Obtain specific physician perceptions about your drug compared to competitors using custom trained LLM
Utilize network graph analysis to identify and engage influential digital opinion leaders
- Identify influential patients for advocacy, brand ambassadorship, and patient-centric initiatives
- Analyze the impact of clinical trials, direct-to-consumer campaigns, conferences, and new launches on sentiment and share of mentions for your drug and competitor drugs
- Continuously monitor competitor websites for key messaging changes
- Utilize extensive patient data, including electronic medical records, to predict patient volume for each physician
- Generate conversation starter email digests email digests for Medical Science Liaisons (MSLs), enabling stronger connections with physicians during sales detailing
Marketing:
- Identify unmet medical needs through patient and physician data analysis, enabling targeted content creation
Discover patients for rare diseases through social media discussions, facilitating online education and treatment outreach.
Enable customized marketing using LLM-powered bots to generate thousands of personalized messages
Develop marketing campaigns based on positive physician and patient discussions to enhance brand visibility and lead conversions
- Automate content approval processes, reducing time and effort
- Summarize lengthy videos/articles into digestible formats for swift review. Sanofi has implemented this to automate research papers review
Medical Affairs:
- Enhance medical education through interactive modules and personalized lessons, promoting effective knowledge retention and skill development
Other Applications:
- Accurately detect potential adverse events and track adverse drug reactions (ADRs) from sources such as clinical trials, electronic health records, and social media. Johnson & Johnson used this to
- Monitor and forecast epidemic outbreaks for optimized logistics and supply chain managemet
For more information on implementing this technology/applications of AI within your organization, please contact [email protected]