Accuracy and validity of data are persistent concerns for those who use it and are the subject of that data. And the concerns are well founded. Data error is a risk to patient safety.

Distrust of data can stop or delay action on a performance improvement agenda and it's very difficult to overcome that distrust. Tracing and correcting errors is costly and often imperfect. The amount of operational inefficiencies due to data quality issues, such as untangling an error in patient identification, is legend.

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