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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. Which statistic measures the spread or variability of a dataset and is calculated as the average of squared deviations from the mean?

    Answer: Variance

    Variance is the average of squared deviations from the mean; standard deviation is the square root of variance.

  2. In the context of the Medicare Severity Diagnosis Related Group (MS-DRG) system, what does a higher relative weight indicate?

    Answer: The case requires more resources and generates higher reimbursement

    A higher MS-DRG relative weight indicates greater resource consumption and results in higher Medicare reimbursement for that case.

  3. A health information professional is reviewing a p-value of 0.03 from a statistical test. What does this mean?

    Answer: There is a 3% probability the observed result occurred by chance if the null hypothesis were true

    A p-value of 0.03 means there is a 3% probability of observing results as extreme as these if the null hypothesis were true.

  4. Which performance improvement methodology uses DMAIC (Define, Measure, Analyze, Improve, Control) as its framework?

    Answer: Six Sigma

    Six Sigma uses the DMAIC framework as its structured approach to process improvement and variation reduction.

  5. An RHIT calculates the following: total live discharges = 2,450; total deaths = 50; total length of stay for all patients = 12,250 days. What is the average length of stay?

    Answer: 5.0 days

    Average LOS = Total LOS ÷ (Live discharges + Deaths) = 12,250 ÷ (2,450 + 50) = 12,250 ÷ 2,500 = 4.9 days. Wait — recalc: 12250/2500 = 4.9.

  6. What is 'benchmarking' in the context of healthcare quality management?

    Answer: Comparing an organization's performance to best practices or top performers

    Benchmarking involves comparing an organization's performance metrics to industry best practices, national averages, or top-performing peers.

  7. Which data quality characteristic ensures that a data element has a value whenever it is required and is not left blank?

    Answer: Completeness

    Completeness ensures that all required data fields contain values and that no required information is missing.