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- Registered Health Information Technician Data Integrity and Quality Flashcards

6 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.

Read the first 6 - Registered Health Information Technician Data Integrity and Quality flashcards as text
  1. A hospital's duplicate medical record rate has increased from 3% to 8%. Which strategy would be most effective to address this issue?

    Answer: Implement an enterprise master patient index (EMPI) with algorithm-based matching and regular audits

    An EMPI with algorithmic matching identifies potential duplicates at registration, and regular audits ensure ongoing clean-up.

  2. Which data quality characteristic ensures that all required fields in a health record are completed?

    Answer: Completeness

    Completeness ensures that all required data elements and fields are present and filled in.

  3. What is the primary purpose of a data quality management program in a healthcare organization?

    Answer: To ensure data meets standards for accuracy, completeness, consistency, and timeliness

    A data quality management program establishes processes to ensure health data meets quality dimensions throughout its lifecycle.

  4. A data integrity audit reveals that a patient's blood type is recorded as Type A in the lab system but Type O in the EHR. What type of issue is this?

    Answer: A consistency issue

    When the same data element has different values across systems, it represents a consistency issue.

  5. Which tool is most commonly used to analyze root causes of data quality problems in healthcare?

    Answer: Fishbone (Ishikawa) diagram

    A fishbone diagram is commonly used for root cause analysis to identify factors contributing to a data quality problem.

  6. What role does data governance play in maintaining health data integrity?

    Answer: It establishes organizational authority, policies, and accountability for data quality, security, and appropriate use

    Data governance establishes the framework of policies, standards, and accountabilities that ensure data is managed as a strategic asset.