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Healthcare Statistics and Analytics Flashcards

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

Read the first 7 Healthcare Statistics and Analytics flashcards as text
  1. A hospital has 300 staffed beds and recorded 90,000 inpatient service days in a 365-day year. What is the bed occupancy rate?

    Answer: 82.2%

    Bed occupancy rate = (90,000 ÷ (300 × 365)) × 100 = (90,000 ÷ 109,500) × 100 ≈ 82.2%.

  2. In healthcare analytics, what does 'sensitivity' of a diagnostic test measure?

    Answer: The proportion of true positives correctly identified by the test

    Sensitivity measures a test's ability to correctly identify those who have the disease (true positive rate).

  3. Which type of study design is considered the strongest evidence for establishing a causal relationship?

    Answer: Randomized controlled trial

    Randomized controlled trials (RCTs) minimize bias through random assignment and are the gold standard for establishing causality.

  4. A hospital tracks its 30-day readmission rate. Which metric does this primarily reflect?

    Answer: Quality of care and care transitions

    The 30-day readmission rate is used as a quality indicator reflecting the effectiveness of care and transitions between care settings.

  5. What is the primary purpose of a confidence interval in healthcare statistics?

    Answer: To express the range within which the true value likely falls

    A confidence interval provides a range of values within which the true population parameter is likely to fall with a specified level of certainty.

  6. When calculating a hospital's infection rate, which formula is correct?

    Answer: (Number of infections / Total discharges) × 100

    Hospital infection rate is calculated as the number of infections divided by total discharges, multiplied by 100.

  7. A correlation coefficient of -0.85 between two healthcare variables indicates:

    Answer: A strong negative relationship

    A correlation coefficient of -0.85 indicates a strong negative relationship, where as one variable increases, the other tends to decrease.