Data Quality

Description: 

Problem Summary

Data collection across a growing stream of contributing facilities and variables requires automated, consistent, and efficient monitoring of quality. Epidemiologists tasked with analyzing syndromic data need to be confident in the overall quality of their data, and aware of the effects of poor data quality when interpreting data. Data quality is also increasingly important as data are shared across jurisdictions and combined for analysis.

Original Publication Year: 
2017
Event/Publication Date: 
October, 2017

October 30, 2017

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Contact Us

NSSP Community of Practice

Email: syndromic@cste.org

 

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