How we helped a pharma company win HTA negotiations using AI-powered strategies
Challenge: Making HTA negotiations more predictable with AI insights
Health Technology Assessment (HTA) negotiations are critical to any product’s market success, but they are also complex, situational, and highly unpredictable.
Our client wanted to strengthen their negotiation strategy with data-driven insights built around the most relevant topics and the committee’s main decision criteria. However, manually analyzing hundreds of past decisions was both time-consuming and subjective, often leading to inconsistent conclusions and missed opportunities.
How we helped
We developed an AI model that automatically tags and extracts topics and their associated sentiments from past committee transcripts. This allowed our client to:
- Quantify the importance of specific discussion topics
- Detect trends in areas of interest over time
- Identify key decision drivers of health authorities
By transforming unstructured negotiation data into measurable insights, we helped the client move from intuition-based preparation to a structured, evidence-backed approach.
The impact: Advancing AI-driven decision intelligence in pharma
When building AI solutions, our goal is to help clients create value at scale. In this case, that meant transforming complex data into clear, actionable decisions. This solution enabled our client to approach HTA negotiations with stronger evidence, higher confidence, and a measurable commercial advantage.
- The company increased its chances of success by facilitating favorable negotiations.
- Access to better insights helped reach higher reimbursement prices during negotiations, directly improving the top line.
- Adopting a data-driven approach in strategic decision-making advanced their AI maturity.
