A large patient count is only a starting point. For real-world evidence teams, the more important question is whether the data contains the right patients, sufficient history and follow-up, and the outcomes needed to answer their research question.

Join this webinar for a deeper dive into MarketScan Snapshot, a complimentary, self-service AI-powered capability that helps users explore MarketScan Research Databases in plain language, assess patient population feasibility, and identify potentially fit-for-purpose real-world data in minutes. Learn how early exploration can help teams evaluate whether the data supports their research needs before investing in the underlying data.

The session will include a live Snapshot demo showing how faster cohort exploration, clearer patient-count insights, and a more intuitive view of MarketScan’s longitudinal claims data can support more confident evidence planning. Speakers will connect those insights to the enrollment history, follow-up, and observable outcomes researchers need to consider—whether evaluating a specific study or selecting a data foundation for a broader portfolio of research questions.

Speakers will discuss:

• How Snapshot supports early feasibility decisions
• When a deeper MarketScan analysis may be warranted
• How AI-powered search can help researchers, life sciences teams, and healthcare analytics leaders accelerate the path from question to evidence generation