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  • John William Cadungog posted an update 2 years, 4 months ago

    • Data quality refers to the overall utility of data to be used for analysis, processes, and storage based on their accuracy, preciseness, reliability, and currency. This allows management to identify errors in their data to be resolved as soon as possible. It helps organization to assess their systems whether or not it is competent to standards.

      In the healthcare setting, data quality is paramount. Errors in handling patient information can compromise their health. Physicians rely on accurate, precise, and reliable data to formulate a convincing diagnosis. While in public health, data quality serves a purpose on ensuring relevant and timely data is monitored to prevent disease outbreaks and promote effective preventive measures for health wellness

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