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Data Integrity: Why it Matters and How to Validate Robin L Schrader, AAS, CAINS, CSR Judith M Schultz, BS, CAINS, CSR 2018 Leigh Valley Health Network 8 Campuses 3 Institutes 1 Children's Hospital
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To fill out data integrity, follow these steps:
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Identify the data that needs to be verified for integrity.
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Validate the accuracy and completeness of the data.
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Ensure that appropriate data validation rules are applied.
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Perform regular data audits to detect any anomalies or unauthorized changes.
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Train employees on data integrity best practices and enforce data security protocols.
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Continuously monitor and update data integrity measures to adapt to changing requirements and technology.
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Regularly communicate and collaborate with stakeholders to maintain data integrity standards.

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Data integrity is essential for various individuals and organizations including:
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- Healthcare providers: to ensure patient safety, privacy, and the quality of medical records.
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- Researchers: to ensure the validity and reproducibility of research findings.
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- Educational institutions: to safeguard student records, grades, and academic data.
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- Online platforms: to maintain user trust, prevent data breaches, and uphold terms of service.
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- Individuals: to protect personal information, financial records, and maintain online security.

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