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

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