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CPHIMS Data Analytics and Reporting Questions and Answers Flashcards

6 cards from real CPHIMS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which visualization type is BEST suited for showing a trend in hospital-acquired infection rates over 12 months?

    Answer: Line chart

    A line chart is the most effective visualization for displaying trends in a continuous metric over time.

  2. Predictive analytics in healthcare is BEST exemplified by:

    Answer: Using historical patient data to identify patients at high risk of sepsis

    Predictive analytics applies statistical models and machine learning to historical data to forecast future events, such as identifying sepsis risk before it develops.

  3. A healthcare organization wants to combine patient data from multiple disparate systems into a unified view. This is BEST achieved through:

    Answer: Master Patient Index (MPI) and enterprise data integration

    An MPI combined with enterprise data integration links patient records across systems using matching algorithms to create a single unified patient identity.

  4. In data quality management, 'data integrity' PRIMARILY means:

    Answer: Data is accurate, complete, and consistent across systems

    Data integrity ensures that healthcare data is accurate, complete, and remains consistent whether viewed from the EHR, data warehouse, or reporting system.

  5. Which federal program incentivized U.S. hospitals to demonstrate 'meaningful use' of certified EHR technology and advance health data analytics capabilities?

    Answer: HITECH Act / Medicare and Medicaid EHR Incentive Programs

    The HITECH Act established the Medicare and Medicaid EHR Incentive Programs (Meaningful Use), driving EHR adoption and structured data capture for analytics.

  6. A data dictionary in a healthcare information system PRIMARILY provides:

    Answer: Definitions, formats, and allowable values for each data element in a system

    A data dictionary documents the name, definition, data type, format, and allowable values for each field, ensuring consistent interpretation of data across the organization.

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