← All CMRT Flashcard Decks

Data Analytics & Reporting Flashcards

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

Read the first 7 Data Analytics & Reporting flashcards as text
  1. Which metric is most commonly used to measure the average length of stay (ALOS) in a hospital?

    Answer: Total patient days divided by total discharges

    ALOS is calculated by dividing total inpatient days by the number of discharges (including deaths) during the same period.

  2. A health information manager notices that the case-mix index (CMI) dropped significantly after a coding audit. What is the most likely explanation?

    Answer: Upcoding was corrected during the audit

    A drop in CMI after an audit typically indicates that previously overcoded (upcoded) diagnoses were corrected to more accurate, lower-weighted codes.

  3. Which type of data display is best suited for showing the distribution of patient ages across a population?

    Answer: Histogram

    A histogram displays the frequency distribution of continuous data like age ranges, making it ideal for visualizing population age distribution.

  4. In health data analytics, what does the term 'data granularity' refer to?

    Answer: The level of detail captured in a data element

    Data granularity refers to the level of detail or precision at which data is stored, such as recording time to the minute versus just the hour.

  5. Which statistical measure is most resistant to the influence of extreme outliers in a dataset?

    Answer: Median

    The median, being the middle value, is not affected by extreme high or low values (outliers) the way the mean is.

  6. A hospital's readmission rate for heart failure patients is 22%. The national benchmark is 15%. What type of reporting would best communicate this gap to hospital leadership?

    Answer: Benchmarking report comparing facility rate to national standard

    A benchmarking report directly compares the facility's performance metric against an external standard, making performance gaps clear to leadership.

  7. Which data quality dimension is being assessed when verifying that every required field in a patient record is completed?

    Answer: Completeness

    Completeness measures whether all required data elements are present in the record, ensuring no mandatory fields are left blank.