Data Analytics & Population Health Flashcards
7 cards from real Clinical Informatics Certification practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Analytics & Population Health flashcards as text
Which statistical method is most appropriate for identifying patient subgroups with similar clinical characteristics from EHR data?
Answer: K-means clustering
K-means clustering is an unsupervised machine learning technique used to segment patients into homogeneous groups based on shared clinical features.
A population health program wants to measure the rate of new diabetes diagnoses in a defined community over one year. Which epidemiological measure should be used?
Answer: Incidence rate
Incidence rate measures the number of new cases of a disease occurring in a population over a specific time period.
In risk stratification models for care management, which metric best indicates a model's ability to distinguish high-risk from low-risk patients?
Answer: Area Under the ROC Curve (AUC)
AUC summarizes the model's discriminative ability across all classification thresholds, making it the standard metric for risk stratification performance.
What is the primary purpose of a Master Patient Index (MPI) in population health data management?
Answer: Uniquely identify and link patient records across systems
An MPI assigns unique identifiers to patients and links their records across disparate healthcare systems to ensure accurate patient matching.
A health system notices its readmission prediction model performs well overall but poorly for Hispanic patients. This is an example of:
Answer: Algorithmic bias
Algorithmic bias occurs when a model produces systematically skewed outcomes for specific demographic subgroups due to underrepresentation or proxy variables in training data.
Which data visualization type is best suited for displaying the distribution of hemoglobin A1c values across a diabetic patient population?
Answer: Histogram
A histogram displays the frequency distribution of a continuous variable, making it ideal for showing the spread of HbA1c values in a population.
Social determinants of health (SDOH) data is increasingly integrated into population health platforms. Which of the following is a recognized SDOH domain?
Answer: Food insecurity
Food insecurity is a core SDOH domain under economic stability, as defined by Healthy People 2030 and incorporated into population health frameworks.