Build the right data stack: How to integrate clinical and claims data for actionable intelligence

Best practices for processing clinical and claims data to support modern analytical and reporting needs

Healthcare organizations are increasingly challenged to extract value from vast and varied data sources, especially as clinical and claims data become central to decision-making, regulatory compliance, and value-based care initiatives. Yet, the complexities of processing, integrating, and standardizing these data types often hinder timely insights and operational efficiency.

Join our expert panel for a focused discussion on the practical realities of processing healthcare data, with special attention to both clinical and claims datasets. We’ll explore proven strategies for data ingestion, enrichment, normalization, and quality assurance, and discuss the latest technologies enabling data processing at scale. Panelists will share real-world experiences addressing common pain points—such as data mapping, matching, and reconciliation—and offer guidance on building robust data pipelines that support analytics, reporting, and patient care initiatives.

Watch this insightful video now.

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