Get clear insights from MSL engagements, by reading HCP's minds with AI.
1
Measure Sentiment
Go beyond surface-level notes to understand the true sentiment of every interaction.
2
Detect Trends
Automatically identify emerging trends and key themes across all engagements.
3
Drive Actions
Use a powerful LLM to instantly generate insight summaries on various topics and key accounts
Reinventing Medical Insights
Harness the power of GenAI
Utilizing natural language processing (NLP), large language model (LLM), causal models, and prompt engineering, Polus transforms manual Medical Insights process with high fidelity and precision.
Key Benefits
Measurable Team Performance
No more counting engagements. Instead, measure your medical team performance by educational and communicative influences on HCPs, reflected on their sentiments.
Efficient Account Engagement
Prioritize engagement activities by knowing which HCPs require more attentions, how many engagements to be effective, and what topics will resonate with them.
Better Resource Planning
Scale your MSL team accordingly to meet the educational objectives, based on the engagements required and their effectiveness.
Effective Communication
Spot new signals - trending topics of interest and potential issues - that requires attention and preemptive communications, such as disease state and adverse events.
Understanding "why"
While ATU studies might show what people are aware of, try, and use, sentiment and topic analysis combined can help understand why those choices are made, and the emotional context surrounding the experiences.
