Transformed 1,400+ Medical Insights Into Structured Scientific Intelligence

A Medical Affairs team needed to synthesize a growing volume of field medical observations and understand how scientific perceptions were evolving.

Individual MSL insights contained valuable information on clinical evidence, treatment considerations and potential adoption barriers, but their unstructured nature made consistent interpretation and trend identification challenging.

1. Scientific Theme Classification

• Analyzed approximately 1,400 MSL insights using structured topic and sentiment classification.
• Organized findings across clinical fit, treatment workflow and adoption friction.

2. Trend & Sentiment Analysis

• Examined changes in scientific discussion topics and positive/negative perceptions over time.
• Investigated themes relating to efficacy, treatment burden, administration and access.

3. Scientific Intelligence Synthesis

• Identified recurring questions, emerging themes and differences across stakeholder groups.
• Developed analytical views to support deeper investigation of specific scientific topics.

• Structured analysis of 1,400+ field medical insights.
• Scientific topic and sentiment trends across reporting periods.
• Identification of recurring clinical questions and perceived barriers.
• Analytical foundation for ongoing medical insights monitoring and interpretation.