Resources
Use Cases:
Optimizing Medical Affairs Communication with Drug-GPT
Access the PDF Use Case.
At a Glance
Challenges
- Time consuming analysis
- Inadequate message alignment
- Limited behavioural insights
Benefits
- A robust quantitative measurement of alignment at a population and HCP level
- Share of voice
- Decision making tool for evaluation and planning of educational materials
Customer Objective
Healthcare Advertising Agency F struggled to understand and measure the impact and effectiveness of educational material that their Pharma Client’s Medical Affairs team were providing HCP’s/MSL’s with, was effective at communicating the brands key messages.
Brief
Leverage Drug-GPT to analyze alignment between HCP/MSL data (from interviews) and the Client’s Medical Affairs teams key brand messages to:
- Group HCPs/MSLs by their alignment with specific key brand messages
- Assess alignment levels for individual HCPs/MSLs
- Track changes in alignment over time as a Key Performance Indicator
Solution
This AI-assisted approach led to an 80% improvement in efficiency and provided longitudinal insights, decreasing manual bias and processing more data from diverse sources. It allowed the Agency to gain a better understanding of HCP/MSL alignment with key messages. In return, allowing the Agency to monitor the impact of their Medical Affairs work on HCP/MSL conversations and alignment levels as well as identify areas for improvement for optimization of future material.
Drug-GPT helps Strategists see key insights, enabling impactful and consistently aligned messaging across all channels
Contact Britt Gibson, Manager Global Customer Engagement, at [email protected].
