Practice Test Geeks(AHIMA) American Health Information Management Association Practice Test
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Healthcare Data Analytics Flashcards

7 cards from real AHIMA 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 Data Analytics flashcards as text

  1. Sensitivity and specificity are metrics used primarily to evaluate:

    Answer: The accuracy of diagnostic tests or clinical decision support tools

    Sensitivity measures a test's ability to correctly identify true positives, while specificity measures its ability to correctly identify true negatives—both evaluate diagnostic test performance.

  2. Which SQL aggregate function would an analyst use to calculate the average length of stay for patients in a specific DRG?

    Answer: AVG()

    The AVG() function returns the arithmetic mean of a numeric column, which directly computes the average length of stay across a group of patient records.

  3. A p-value of 0.03 in a healthcare outcome study indicates:

    Answer: The result is statistically significant at the 0.05 alpha level

    A p-value of 0.03 falls below the conventional 0.05 significance threshold, indicating the result is statistically significant, though this does not automatically imply clinical significance.

  4. Natural Language Processing (NLP) is most commonly applied in clinical analytics to:

    Answer: Extract structured information from free-text clinical documentation

    NLP enables computers to interpret and extract structured data elements from unstructured sources such as clinical notes, discharge summaries, and radiology reports.

  5. Which scenario best exemplifies 'secondary use' of health data?

    Answer: A researcher analyzing de-identified EHR data to study diabetes outcomes

    Secondary use occurs when health data originally collected for patient care is subsequently used for research, quality improvement, or public health purposes outside the original encounter.

  6. The Charlson Comorbidity Index is used in healthcare analytics primarily to:

    Answer: Adjust for patient disease burden when comparing outcomes across populations

    The Charlson Comorbidity Index assigns weighted scores to comorbid conditions, producing a composite score that enables risk-adjusted comparisons of outcomes across patient groups.

  7. Which sampling method gives every member of a patient population an equal and independent probability of being selected?

    Answer: Simple random sampling

    Simple random sampling assigns each individual in a population an equal, independent chance of selection, eliminating systematic selection bias.