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How to Resolve Conflicting Opinions on Healthcare Data Accuracy

A Seven Layer Model for meeting data demands from multiple healthcare constituencies

Good things come in sevens. There’s the classic seven layer bean dip, central to Cinco de Mayo parties. Then there’s our seven layer model for reconciling conflicting interpretations of accuracy for healthcare data.

When everyone has their own idea of what data they need and what accuracy means for their daily needs, data scientists need a smart, structured approach to keep everyone happy. This downloadable guide provides best practices to help manage the task.

Complete the form to the right to download our free guide to the seven layer model for data accuracy.

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