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Certified Health Data Analyst (CHDA) — Requirements & Free Practice

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Certified Health Data Analyst (CHDA)

AHIMA professional certification for expertise in health data analysis, reporting, and business needs assessment.

Licensing authority: American Health Information Management Association

Initial by examination
Certified Health Data Analyst (CHDA)
Eligibility
RHIT or RHIA credential, or bachelor's or higher degree from an accredited college or university; three years of healthcare data experience is recommended, not required.

Certified Health Data Analyst (CHDA)

Provider
Pearson VUE
Format
Computer-based at Pearson VUE or remote OnVUE
Exam questions
Total questions: 142; Scored questions: 121; Unscored questions: 21; The total includes the scored and unscored questions.
Time limit
Three and a half hours
Passing score
300
Exam fee
$259 for AHIMA members; $329 for non-members
Examination outline

The authority publishes percentage ranges for each content area. The practice percentages below use the midpoint of each range, normalized to 100%; they are not exact percentages published by the authority. Practice question counts may differ slightly because of rounding.

  • Foundational Knowledge of Analytics in Healthcare — Official range: 14–16% (Practice allocation: 15.54%)
    • Understand the healthcare delivery system
    • Differentiate commonly used healthcare datasets and quality measures
    • Apply knowledge of healthcare classification systems, terminologies, and ontologies
    • Describe the revenue cycle management process
    • Differentiate accreditation agencies and regulatory reporting requirements
    • Demonstrate basic understanding of epidemiology and health equity
    • Describe the relationships between electronic health records (EHR), informatics and healthcare data
    • Understand the levels of analysis
    • Differentiate applications of artificial intelligence in healthcare
  • Business Needs Assessment — Official range: 11–15% (Practice allocation: 13.47%)
    • Apply project management principles as related to data analytics
    • Understand the stakeholders and determine their needs
    • Identify the goal of the data request
    • Identify and evaluate relevant metrics for business needs
    • Create an analysis plan
  • Data Acquisition — Official range: 14–18% (Practice allocation: 16.58%)
    • Identify sources and lineage of target data elements
    • Differentiate between data collection methods
    • Extract data
    • Evaluate data quality
    • Cleanse acquired data
    • Transform the data
    • Validate transformed data
  • Data Analysis — Official range: 22–25% (Practice allocation: 24.35%)
    • Query data
    • Determine and explain analytical approach
    • Apply analytical methodologies
    • Identify trends, patterns, and anomalies in data
    • Understand how benchmarking and risk adjustment are performed on data
  • Data Interpretation and Reporting — Official range: 18–22% (Practice allocation: 20.73%)
    • Interpret results and identify key findings
    • Explain assumptions and limitations
    • Create optimal data visualizations for stakeholders
    • Communicate findings to stakeholders
  • Data Governance — Official range: 8–10% (Practice allocation: 9.33%)
    • Understand the development, implementation, and evaluation cycle of policies for access, ownership, integrity, or usage of data
    • Differentiate between database designs
    • Identify key health data laws and regulations in the context of data access and analysis
    • Understand the necessity of audit logs or controls of analyses and data submission
Examination sources