Why is validating data important


25-Jun-2017 14:37

You can apply a validation rule to a field or to a record.At the field level, the rule checks the data for only the field constrained by the rule.In the future, it is expected that external organizations, such as CMS and possibly state health departments, will pursue data validation activities, which may have payment and/or regulatory implications.Early data validation by facilities will provide more time to identify and make corrections to problems with NHSN data collection and reporting processes.Following development of CDA capacity, if possible, a person within the facility is expected to compare manually collected data with CDA data to verify that they are the same, and then continue to review the data in NHSN on an ongoing basis to verify data continue to be reported completely and correctly.

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In this case, you'd use a record-level validation rule, which is actually a table property that you can set as follows: To protect the validity of your data, you start at the foundation.

Protecting the validity of your data is one of the most important tasks of a database developer.



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