Resources
Use Cases:
AI-Enhanced Patient Communication Using Personas
Access the PDF Use Case.
At a Glance
Challenges
- Unable to effectively structure data for analysis
- Time for manual analysis of related real-world conversations
- Topline views of the data
Benefits
- Drives internal efficiency
- Enabling effective messaging by key persona
- 80% productivity boost
- The ability to view all data collectively or view personas of interest
Customer Objective
A Healthcare Marketing Agency (Customer) faced challenges in effectively analysing their data into Patient Personas. The Customer struggled to extract meaningful insights from various populations in their data related to a specific Client’s drug of interest.
Brief
Customer briefed Talking Medicines to use Advanced Data Science and AI technologies to structure Patient populations within their Patient Conversational Data based on diagnosis, treatment, and follow-up/switching. Customer wanted to ask natural language questions of each persona using Drug-GPT to gain curated and actionable intelligence.
Solution
The Talking Medicines Drug-GPT solution provided the Customer with a comprehensive and efficient approach to understanding and engaging with patient populations, ultimately improving their marketing strategies and client- specific initiatives. This approach led to an 80% time efficiency improvement and enabled the Customer to view insights for all data collectively, or within different personas of interest (diagnosis, treatment, follow up/switching). Furthermore, the Customer was able to re-run the models at strategically important times in the year to monitor for emerging trends.
Unlock Patient Insights with Drug-GPT Intelligence
Contact Britt Gibson, Manager Global Customer Engagement, at [email protected].
