Real Practice, Real Impact: The Business Case for Next-Gen Field Medical Enablement

Session details:

Field medical teams are entrusted with delivering nuanced, high-value scientific exchange—yet most training remains static, outdated, and unscalable. When the full cost of a single MSL can exceed $300K per year, organizations can’t afford for field teams to operate at anything less than 100%. But that’s exactly what happens when enablement falls short - leading to longer ramp-up times, message inconsistency, and missed opportunities for HCP influence.

This session builds the business case for modernizing field medical training through technology including next-generation enablement models, anchored in generative AI and large language models (LLMs). Attendees will see how companies are using technology and conversational AI to simulate complex HCP scenarios, personalize practice environments at scale, and adapt learning pathways in real time—responding to congress updates, clinical data drops, or competitive approvals.

With real-world results showing gains in engagement confidence and onboarding acceleration, this session will demonstrate that intelligent, scalable L&D isn’t just a better way to train—it’s a strategic lever for field readiness, agility, and impact.

• Why Traditional Training Isn’t Enough: Highlight the challenges of outdated training methods and their impact on field medical performance, from slow onboarding to inconsistent messaging.
• How Technology is Changing the Game: Explore how AI and new tools can simulate real HCP conversations, personalise learning, and quickly adapt to new data or events.
• Proving the Value: Share real examples of how modern training leads to faster ramp-up, stronger HCP engagement, and better results for the business.