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. Which statistical measure is most resistant to outliers when analyzing patient length-of-stay data?

    Answer: Median

    The median is the middle value of an ordered dataset and is unaffected by extreme outliers, making it more reliable than the mean for skewed distributions like length of stay.

  2. A health analyst groups patients with similar chronic conditions using a clustering algorithm without predefined outcome labels. This is an example of:

    Answer: Unsupervised learning

    Unsupervised learning (such as k-means clustering) discovers hidden patterns in data without requiring labeled training examples.

  3. FHIR (Fast Healthcare Interoperability Resources) is primarily designed to enable:

    Answer: Standardized exchange of healthcare data via APIs

    FHIR is an HL7 standard that uses RESTful APIs to enable standardized, interoperable exchange of healthcare data between disparate systems.

  4. Which of the following is considered a leading indicator in healthcare quality analytics?

    Answer: Hand hygiene compliance rate

    Hand hygiene compliance is a process (leading) indicator that predicts future outcomes like infection rates, unlike readmission or mortality, which are lagging outcome measures.

  5. The primary purpose of a data dictionary in a health information system is to:

    Answer: Define the structure, format, and meaning of each data element

    A data dictionary is a metadata repository that documents the definition, format, source, and relationships of each data element to ensure consistent interpretation and use.

  6. Which chart type is BEST suited for displaying a trend in monthly hospital admission rates over a two-year period?

    Answer: Line chart

    Line charts are designed to display continuous data trends over time, making changes and patterns in monthly admission rates easy to identify and interpret.

  7. In healthcare analytics, 'data granularity' refers to:

    Answer: The level of detail at which data is captured or stored

    Data granularity describes how detailed the data is—patient-level data has higher granularity than aggregated facility-level summaries.