From claims to clarity with MarketScan longitudinal data

As the healthcare research landscape evolves, researchers face growing challenges related to longitudinal data quality, patient continuity, and dataset limitations that can skew feasibility, bias, and overall real‑world evidence outcomes. Why does it matter so profoundly to track people as they change health plans? This can impact eligibility windows, sample retention, and analytic rigor. As payer churn increases and gaps in claims-only datasets become more evident, the need for a trusted, comprehensive longitudinal foundation has never been greater.

This webinar cuts through the noise and focus on practical implications, real-world scenarios, and the reasons MarketScan continues to be the backbone of reliable healthcare research.

Viewers will:

• Gain a deeper understanding of how longitudinal completeness and continuous eligibility windows directly shape study feasibility, bias, and power

• Explore the real cost and burden implications of mis-specified longitudinality, including how errors in tracking patient journeys can distort economic models and HEOR findings

• See how MarketScan’s combined data, tools, and services deliver differentiated value

This is an essential session for anyone responsible for designing, executing, or interpreting real-world evidence. Watch to strengthen your understanding of why MarketScan remains the superior foundation for longitudinal healthcare research.