Harnessing Data Analytics to Advance Medical Affairs Excellence

In today’s rapidly evolving healthcare landscape, claims data analytics serves as a vital, transformative tool for Medical Affairs professionals. By unlocking insights from real-world patient journeys and healthcare utilization, claims data enables Medical Affairs teams to make data-driven decisions that enhance strategic initiatives, inform evidence generation, and drive value-based outcomes.

The integration of artificial intelligence (AI) further amplifies these capabilities, allowing for more sophisticated data analysis, predictive modeling, and identification of emerging trends. This webinar will explore how claims data analytics can be effectively integrated into Medical Affairs workflows to address key challenges and opportunities in the field.

Attendees will gain insights into use cases such as optimizing stakeholder engagement, identifying unmet clinical needs, closing care gaps, supporting evidence-based messaging, and measuring real-world impact. Through case study examples and interactive discussions, this webinar aims to equip participants with practical knowledge and tools to leverage claims data for advancing industry standards and shaping the future of Medical Affairs.

Learning Objectives:

• – Identify strategies for incorporating real-world evidence to inform Medical Affairs initiatives.

• – Understand the role of claims data analytics in Medical Affairs decision-making.

• – Learn how AI enhances predictive modeling and trend identification in healthcare analytics.

• – Explore case studies showcasing the impact of claims data in optimizing stakeholder engagement and improving patient outcomes.

Moderator & Speakers:

Lori Klein, PharmD

Partner, Medical & Scientific Affairs Practice Lead

Putnam

Speaker:

Nikheel Kolatkar, MD, MPH

VP, US Medical

Genentech

Speaker:

Sonal Bhatia

Former Chief Medical Officer

Speakers:

Jo Ann Saitta

Partner, Global Data Strategy, Analytics and AI Practice Lead

Putnam