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Data Integrity and Quality Flashcards

7 cards from real RHIT practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

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  1. Which organization publishes the data quality management model widely referenced in health information management?

    Answer: AHIMA

    AHIMA published the Data Quality Management Model, which identifies key dimensions and processes for managing health data quality.

  2. A hospital discovers that encounter dates in its billing system are consistently one day later than dates in its EHR. This is best described as a:

    Answer: Systematic error

    A systematic error is a consistent, repeatable discrepancy caused by a flaw in a process or system rather than random chance.

  3. Which concept ensures that health data means the same thing regardless of who collects it or where?

    Answer: Data standardization

    Data standardization establishes uniform definitions, codes, and formats to ensure data is interpreted consistently across settings.

  4. A concurrent record review identifies missing physician signatures on operative notes. This review supports which data quality goal?

    Answer: Ensuring data completeness and accuracy

    Concurrent review identifies documentation deficiencies while the patient is still in-house, improving completeness and accuracy.

  5. What is 'data provenance' in health informatics?

    Answer: The documented history of data's origin, movement, and transformation

    Data provenance tracks where data came from, how it was transformed, and who handled it, which is essential for trust and integrity.

  6. Which term describes the process of replacing specific patient identifiers with codes to protect privacy while maintaining data usability?

    Answer: De-identification

    De-identification removes or obscures 18 HIPAA-specified identifiers so data cannot reasonably be linked back to an individual.

  7. In a health data quality review, a 'false positive' result from a validation rule would mean:

    Answer: A valid record was incorrectly flagged as an error

    A false positive occurs when a validation rule flags a record as problematic even though the data is actually correct.

Data Integrity and Quality Flashcards โ€” RHIT Study Cards with Answers