Author(s): Yukti Khurana, Dr. Mani Sharma & Dr. Ankur Goyal
Is your Medical Affairs function using advanced analytics to shape scientific decisions?
The life sciences landscape is evolving faster than ever. Drug innovation is accelerating. Therapeutic complexity is increasing. Stakeholder expectations are expanding. Yet many Medical Affairs organizations continue to operate with fragmented data, limited scalability, and metrics that struggle to demonstrate real-world impact.
Three structural challenges are holding Medical Affairs back:
- Disconnected intelligence: Scientific signals remain scattered across claims, EHRs, publications, and field interactions, limiting the ability to generate a unified view of unmet need.
- Engagement models that cannot scale: MSLs spend valuable time searching, validating, and synthesizing information instead of focusing on high-value scientific exchange.
- Impact that remains difficult to quantify: As expectations shift toward outcomes, many organizations still rely on activity-based measures rather than evidence of scientific influence and patient impact.
