What is Data Integrity

Data Integrity Definition

Data Integrity is the "Reliability Score" of an organization's information. For C-level Executives, integrity is about "Trust." If a CEO looks at a network adequacy report, they must trust that the underlying data hasn't been corrupted or miscalculated during the export process. Integrity is maintained through "Audit Trails," "Checksums," and "Referential Integrity" (ensuring that a provider record cannot exist without a valid NPI). For Payer Ops, a breakdown in data integrity often manifests as "Broken Links"—for example, a doctor’s record is updated, but their link to their practice group is lost, leading to billing failures. Maintaining integrity requires rigorous "Change Management" protocols to ensure that every update to the database is tracked, authorized, and validated.

FAQs

What is "Referential Integrity" in a provider database?

It is a logic rule that ensures relationships remain valid—e.g., a provider cannot be assigned to a "Group Practice" that does not exist in the system.

How does an "Audit Trail" support data integrity?

V It provides a chronological record of who changed a piece of data, what the old value was, and when it happened, allowing for "data recovery" if an error occurs.

Why is "Data Encryption" part of data integrity?

Encryption ensures that the data is not altered or tampered with by unauthorized parties during transmission between systems (like from CAQH to a PDM).