100+ Free CHDA Practice Questions

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What does ANOVA (Analysis of Variance) test?

Whether data follows a normal distribution

Whether there are statistically significant differences in means among three or more groups

The correlation between two variables

The proportion of variance explained by a model

to track

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2026 Statistics

Key Facts: CHDA Exam

150

Exam Questions

AHIMA CHDA exam page

3.5 hrs

Exam Time

AHIMA CHDA exam page

300

Minimum Passing Score

AHIMA examination procedures

$299-$399

Exam Fee

AHIMA (member/non-member)

~68%

Pass Rate

AHIMA data

30-35%

Analytics Domain Weight

CHDA content outline

The AHIMA CHDA examination tests health data analysts on data analytics (descriptive, predictive, prescriptive), data governance (quality, HIPAA, stewardship), clinical data standards (ICD-10, SNOMED, HL7/FHIR), statistical methods (hypothesis testing, regression, model evaluation), and reporting/visualization (dashboards, quality measures, CMS programs). The exam has 150 questions (130 scored) in 3.5 hours.

Sample CHDA Practice Questions

Try these sample questions to test your CHDA exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1What is the primary purpose of healthcare data analytics?

A.To replace clinical judgment entirely

B.To transform raw healthcare data into actionable insights for improving quality, outcomes, and efficiency

C.To eliminate the need for electronic health records

D.To reduce the number of healthcare providers

Explanation: Healthcare data analytics transforms raw data from multiple sources (EHRs, claims, registries) into actionable insights that inform clinical decision-making, quality improvement, population health management, and operational efficiency. Analytics supports evidence-based practice without replacing clinical judgment.

2Which type of analytics answers the question 'What happened?'

A.Predictive analytics

B.Descriptive analytics

C.Prescriptive analytics

D.Cognitive analytics

Explanation: Descriptive analytics examines historical data to answer 'What happened?' through summarization, aggregation, and visualization of past events. Examples include dashboards showing readmission rates, average length of stay trends, and case mix index reports. It is the foundation upon which predictive and prescriptive analytics are built.

3What does data governance encompass in a healthcare organization?

A.Only data storage and backup procedures

B.The framework of policies, procedures, standards, and accountability structures that ensure data quality, security, integrity, and appropriate use

C.Only HIPAA compliance

D.Only database administration

Explanation: Data governance is a comprehensive framework that includes policies, procedures, standards, roles, and accountability structures governing how healthcare data is collected, stored, maintained, used, and shared. It ensures data quality, security, integrity, privacy, and compliance while enabling appropriate data use for analytics and decision-making.

4Which statistical measure describes the central value around which most data points cluster?

A.Standard deviation

B.Mean (average)

C.Range

D.Variance

Explanation: The mean (arithmetic average) is the most commonly used measure of central tendency, calculated by summing all values and dividing by the number of observations. In healthcare analytics, the mean is used to summarize metrics like average length of stay, average cost per case, and mean readmission rates. However, it can be influenced by outliers.

5What is a data dictionary in the context of healthcare data management?

A.A thesaurus of medical terminology

B.A comprehensive catalog documenting data elements, their definitions, formats, allowable values, sources, and relationships

C.A patient directory

D.A database backup log

Explanation: A data dictionary (or metadata repository) is a reference document that describes each data element in a dataset, including its name, definition, data type, format, allowable values, source system, business rules, and relationships to other elements. It ensures consistent interpretation and use of data across an organization and is essential for data governance.

6What is the difference between structured and unstructured data in healthcare?

A.There is no meaningful difference

B.Structured data follows a predefined format (coded fields, numbers) while unstructured data includes free-text notes, images, and audio without a fixed schema

C.Structured data is only found in paper records

D.Unstructured data is always more accurate

Explanation: Structured data follows a predefined format and resides in relational database fields (e.g., ICD codes, lab values, demographics). Unstructured data lacks a fixed schema and includes clinical notes, radiology reports, discharge summaries, images, and audio recordings. Approximately 80% of healthcare data is unstructured, requiring natural language processing (NLP) for analytics extraction.

7Which visualization type is most appropriate for showing trends over time?

A.Pie chart

B.Line chart

C.Bar chart

D.Scatter plot

Explanation: Line charts are the most appropriate visualization for displaying trends over time (time series data). They show how a metric changes across sequential time periods, making it easy to identify patterns, seasonal variations, and long-term trends. Examples include monthly readmission rates, infection rate trends, and patient volume over quarters.

8What is the purpose of a p-value in statistical hypothesis testing?

A.It measures the size of the effect

B.It represents the probability of observing results as extreme as the data if the null hypothesis is true

C.It determines the sample size needed

D.It measures data quality

Explanation: The p-value represents the probability of obtaining results at least as extreme as the observed data, assuming the null hypothesis is true. A p-value less than the significance level (typically 0.05) leads to rejection of the null hypothesis. However, p-values do not measure effect size or clinical significance, and should be interpreted alongside confidence intervals and effect sizes.

9What is an Enterprise Master Patient Index (EMPI)?

A.A list of all physicians in an organization

B.A system that maintains a single, consistent identifier for each patient across all systems and facilities in an enterprise

C.A coding system for diagnoses

D.A financial reporting tool

Explanation: An Enterprise Master Patient Index (EMPI) is a database that maintains a unique identifier for each patient across multiple clinical and administrative systems within a healthcare enterprise. It links patient records from disparate systems using matching algorithms to create a unified patient view, which is essential for accurate analytics, care coordination, and preventing duplicate records.

10Which predictive modeling technique uses labeled training data to classify outcomes into predefined categories?

A.Unsupervised clustering

B.Supervised classification (e.g., logistic regression, decision trees, random forests)

C.Principal component analysis

D.Market basket analysis

Explanation: Supervised classification uses labeled training data (with known outcomes) to build models that predict categorical outcomes. In healthcare, examples include predicting readmission (yes/no), sepsis risk (high/low), and mortality risk classification. Common algorithms include logistic regression, decision trees, random forests, and support vector machines.

About the CHDA Exam

The AHIMA CHDA exam certifies health data analysts in healthcare data analytics, data governance, statistical methods, clinical data interpretation, and reporting. Passing earns the CHDA credential for analytics professionals.

Questions

100 scored questions

Time Limit

3 hours 30 minutes

Passing Score

300 (scaled, 100-400)

Exam Fee

$299-$399 (AHIMA / Pearson VUE)

CHDA Exam Content Outline

30-35%

Data Analytics and Decision Support

Descriptive, predictive, and prescriptive analytics, data mining, machine learning, and population health

20-25%

Data Governance and Management

Governance frameworks, data quality, HIPAA, metadata management, de-identification, and access controls

20-25%

Clinical Data and Standards

ICD-10, SNOMED CT, LOINC, HL7/FHIR, EHR data, case mix analysis, and coding systems

15-20%

Statistical Methods

Descriptive and inferential statistics, hypothesis testing, regression, correlation, and model evaluation

10-15%

Reporting and Visualization

Dashboard design, chart types, quality measures, CMS programs, and performance measurement

How to Pass the CHDA Exam

What You Need to Know

Passing score: 300 (scaled, 100-400)
Exam length: 100 questions
Time limit: 3 hours 30 minutes
Exam fee: $299-$399

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

CHDA Study Tips from Top Performers

1Focus heavily on data analytics and decision support — it represents the largest exam domain at 30-35%

2Master data governance concepts including HIPAA de-identification (Safe Harbor and Expert Determination)

3Study clinical data standards: know the difference between ICD-10, SNOMED CT, LOINC, and HL7/FHIR

4Review statistical methods: understand when to use t-tests, ANOVA, chi-square, and regression

5Practice interpreting data visualizations and selecting appropriate chart types for different data

6Study CMS quality programs (VBP, HRRP, HAC) and their analytics implications

Frequently Asked Questions

How many questions are on the CHDA exam?

The CHDA exam contains 150 multiple-choice questions (130 scored, 20 pretest) with a 3 hour 30 minute time limit.

What score do I need to pass the CHDA exam?

The CHDA exam uses a 100-400 scaled score, and 300 is the minimum passing score.

What is the CHDA exam fee?

The CHDA exam fee is $299 for AHIMA members and $399 for non-members.

What topics are covered on the CHDA exam?

The CHDA exam covers data analytics (descriptive, predictive, prescriptive), data governance (quality, HIPAA), clinical data standards (ICD-10, SNOMED, FHIR), statistical methods (hypothesis testing, regression), and reporting/visualization.

How should I prepare for the CHDA exam?

Focus on data analytics fundamentals (largest domain), master data governance and HIPAA de-identification requirements, study clinical data standards (ICD-10, HL7/FHIR), and practice statistical concepts. Use timed practice sets to build exam stamina.

What career does CHDA certification lead to?

The CHDA credential qualifies you for roles as a health data analyst, clinical data analyst, healthcare analytics manager, population health analyst, or quality improvement analyst in hospitals, health systems, and payer organizations.

100+ Free CHDA Practice Questions

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