Rc View And Data Correction Work Review

Scenario: A patient’s blood pressure reading is 250/150 (flagged as out of range).


Do not just fix the data; fix the process that broke it. Ask: rc view and data correction work

To maximize the value of these processes, organizations should adopt the following practices: Scenario: A patient’s blood pressure reading is 250/150

The RC View is not a passive glance at data; it is a structured, rule-based review. During this phase, data stewards or system users access an interface that highlights potential anomalies, missing fields, or values that fall outside expected ranges. Key activities in this phase include: Do not just fix the data; fix the process that broke it

The output of a successful RC View is a prioritized error log or a “discrepancy report” that clearly marks each record requiring attention.

  • Validate post-fix: run checks to confirm fixes resolved issues and didn't introduce regressions.
  • Deploy & propagate: commit changes and trigger necessary downstream jobs.
  • Audit & close: update audit log, notify stakeholders, and mark resolved.
  • Root-cause analysis: for frequent issues, create prevention actions (schema changes, stricter validations, source fixes).