Quality Is Only as Good as the Data Behind It
from Quality Matters: A Podcast by NCQA Hosted by Burke Burnett, Vik Wadhwani
In Episode 2 of Data Quality Perspectives, host Burke Burnett sits down with NCQA Chief Product and Transformation Officer Vik Wadhwani to examine why modernizing quality measures is not enough on its own. The conversation explores how standards such as FHIR make data easier to exchange, but do not automatically make it trustworthy. Even a technically sound measure can produce unreliable results when its underlying data is incomplete, inconsistent or lacks transparency. Wadhwani explains why organizations that digitize measurement without modernizing data practices risk automating old problems and moving uncertainty through the system faster. Burnett and Wadhwani also discuss what a modern foundation for digital quality measurement requires: shared standards, clear data-quality expectations, traceability, automated and repeatable validation, continuous assurance and stronger alignment among data partners. These capabilities help organizations identify issues earlier, reduce duplicative work and distinguish true clinical performance from limitations in the available data. for information about our collection and use of personal data for advertising.
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