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How is the quality of DAWN data assessed?

The Drug Abuse Warning Network (DAWN) uses a multi-step process to ensure data quality. Automated checks are embedded in the web-based abstraction system at initial entry to minimize errors, and machine learning algorithms are applied to each drug-related visit once submitted. Cases flagged by the machine learning model are subject to human review for accuracy. Quality audits are performed bi-annually on each abstractor’s data to focus training needs and assess quality.

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