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The National Congenital Heart Disease Audit DatabaseData Quality Audit forCONGENITAL HEART DISEASEApr 2017 Mar 2018Glenfield HospitalUniversity of Leicester NHS Trust10 August 2018Performed by Lin
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How to fill out data quality audit for

01
Identify the purpose of the data quality audit
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Implement any necessary changes based on the audit results

Who needs data quality audit for?

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Businesses that rely on data for decision-making
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A data quality audit is conducted to assess the accuracy, completeness, reliability, and timeliness of data used within an organization.
Organizations that manage significant amounts of data, particularly in regulated industries, are typically required to file a data quality audit.
To fill out a data quality audit, organizations should gather relevant data metrics, evaluate data processes, and document findings according to established guidelines.
The purpose of a data quality audit is to ensure that data practices meet compliance standards and to identify areas for improvement in data management.
Required information typically includes data quality metrics, assessment results, sources of data, and any identified data discrepancies or issues.
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