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WGU D514 – ANALYTICAL METHODS OF HEALTHCARE LEADERS PRE-ASSESSMENT QA GRADED A+ (ACCURATE SOLUTIONS)

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WGU D514 – ANALYTICAL METHODS OF HEALTHCARE LEADERS PRE-ASSESSMENT QA GRADED A+ (ACCURATE SOLUTIONS) Which statistical measure shows variability in a dataset? Which study design follows participants into the future to observe outcomes?

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WGU D514 – ANALYTICAL METHODS
OF HEALTHCARE LEADERS
PRE-ASSESSMENT QA GRADED A+
(ACCURATE SOLUTIONS)
1. Payments to hospitals with excessive _____

A. Admissions
B. Insurance Denials
C. Emergency Visits
D. Readmissions

✅ Correct Answer: D. Readmissions

Explanation:
Medicare reduces payments to hospitals with excessive readmissions under
the Hospital Readmissions Reduction Program. High readmission rates
suggest poor care coordination or discharge planning. This program
encourages hospitals to improve follow-up care. Reducing readmissions
improves outcomes and lowers costs.




2. A QI team gathered data on all Medicare patients who
received total hip arthroscopy in 2017 and surveyed them
later. What type of study is this?

A. Ecologic Study
B. Retrospective Cohort Study
C. Prevalence Study
D. Prospective Cohort Study

✅ Correct Answer: B. Retrospective Cohort Study

,Explanation:
A retrospective cohort study looks backward at patients who already
experienced an exposure. The surgery occurred in 2017, and outcomes were
measured later. No intervention was applied by researchers. This design is
common in quality improvement and outcomes research.




3. Examining the relationship between a dependent variable
and one or more independent variables using a best-fit line

A. Bivariate Analysis
B. Logistic Regression
C. Cluster Analysis
D. Linear Regression

✅ Correct Answer: D. Linear Regression

Explanation:
Linear regression evaluates how changes in independent variables affect a
dependent variable. It calculates a line that minimizes error between
predicted and actual values. This method is widely used for forecasting
outcomes. It assumes a linear relationship between variables.




4. Grouping objects so those in the same group are more
similar to each other than to those in other groups

A. Stratification Analysis
B. Bivariate Analysis
C. Cluster Analysis
D. Dimensional Analysis

✅ Correct Answer: C. Cluster Analysis

,Explanation:
Cluster analysis organizes data into groups based on similarity. It is useful in
population health to segment patients with similar needs. The method does
not require predefined categories. This helps target interventions more
effectively.




5. A case manager delays returning a patient’s call because
she believes he is malingering. Which ethical principles are
violated?

A. Nonmaleficence and Beneficence
B. Autonomy and Beneficence
C. Autonomy and Justice
D. Nonmaleficence and Justice

✅ Correct Answer: D. Nonmaleficence and Justice

Explanation:
Nonmaleficence requires healthcare professionals to avoid causing harm,
including neglect. Justice requires fair and equal treatment of all patients.
Delaying care based on personal bias violates both principles. Ethical
decision-making must be objective and patient-centered.




6. What does QI stand for in healthcare analytics?

A. Quality Inspection
B. Quantitative Index
C. Quality Improvement
D. Quota Initiative

✅ Correct Answer: C. Quality Improvement

, Explanation:
Quality Improvement focuses on continuous efforts to enhance patient care
and outcomes. It relies heavily on data collection and analysis. QI initiatives
identify gaps and test changes. This approach supports evidence-based
management.




7. Which measure identifies the middle value in a dataset?

A. Mean
B. Mode
C. Median
D. Range

✅ Correct Answer: C. Median

Explanation:
The median is the value that lies in the middle when data are ordered. It is
less affected by extreme values than the mean. Healthcare cost data often
use medians due to skewed distributions. This provides a more accurate
representation.




8. Which type of data is blood type?

A. Continuous
B. Ordinal
C. Nominal
D. Interval

✅ Correct Answer: C. Nominal

Explanation:
Nominal data represent categories with no inherent order. Blood types such

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