While accurate, reliable data are essential for positive patient and operational outcomes, persistent quality issues continue to compromise accreditation initiatives and reimbursement models. The hurdle isn't just technical; it's cultural. Implementing robust data standards across an entire enterprise demands massive labor, cultural and resource shifts. To make matters worse, regulators set strict standards but rarely provide a roadmap for meeting them—leaving organizations exposed to errors that threaten both data integrity and revenue streams.

The NCQA Data Aggregator Validation Program offers a critical framework to address these complexities. By validating clinical data streams, the program enhances operational efficiency, safeguards data integrity and equips organizations to navigate modern healthcare complexities with confidence. 

This presentation examines how to build that culture of data quality across an enterprise, specifically mapping out the organizational roles and operational outcomes necessary to drive success.

Learning Objectives:

• Differentiate between the distinct roles of a responsible party and a data partner.
• Evaluate the impact of data quality and define the data aggregator’s role in achieving interoperability.
• Apply industry best practices and lessons learned to their own data validation initiatives.