Healthcare Analyst Data Analysis & Interpretation Flashcards

A population health analyst is stratifying patients by risk tier. After applying cutoff scores, the high-risk tier has 5% of patients but accounts for 45% of costs. This relationship is best described by:

Answer: Pareto principle applied to healthcare utilization

The Pareto principle (80/20 rule) describes how a small proportion of patients drives a disproportionately large share of costs, common in healthcare utilization data.

An analyst discovers that two healthcare datasets must be linked by patient name and date of birth because no common unique identifier exists. The most appropriate linkage method is:

Answer: Probabilistic record linkage using weighted field comparisons

Probabilistic record linkage accounts for data entry errors and partial matches by assigning weighted scores across multiple fields, maximizing true matches while minimizing false links.

In value-based care analytics, a quality measure calculates the percentage of diabetic patients with A1c < 8%. An analyst should report this as which type of measure?

Answer: Outcome measure

A1c level is a clinical outcome directly reflecting patient health status, making it an outcome measure rather than a process or structural measure.

A healthcare analyst runs a multiple regression and finds that adding 10 additional predictor variables increases R² from 0.61 to 0.64. Which statistic best evaluates whether this model improvement is meaningful?

Answer: Calculate the adjusted R² for both models

Adjusted R² penalizes for additional predictors and is more reliable than raw R² for comparing models with different numbers of variables.

A hospital's pharmacy analyst notices that opioid prescription rates are 3x higher in one unit compared to all others. Before reporting this as a quality concern, the analyst should first:

Answer: Verify the data source, coding accuracy, and whether unit patient mix differs

Data validation and case-mix review must precede clinical conclusions to rule out measurement error or legitimate patient population differences.

A healthcare analyst is asked to evaluate the cost-effectiveness of a preventive screening program. The primary metric that captures both costs and health outcomes in a single ratio is:

Answer: Cost per QALY (quality-adjusted life year)

Cost per QALY is the standard metric in health economic evaluations, combining monetary cost with quality and quantity of life gained.

An analyst is validating a clinical risk score by testing it in a new patient population. The score performs well in terms of discrimination (AUC = 0.80) but is poorly calibrated. This means:

Answer: The model ranks patients correctly but its predicted probabilities are inaccurate

Discrimination (AUC) measures ranking ability; calibration measures whether predicted probabilities match actual event rates — they are independent and both matter for clinical use.