AHIMA CHDA 2026 Study Guide is an independent, full-length preparation resource for candidates who want more than a compressed outline or a list of disconnected facts. It is organized for deliberate study, retrieval practice, and targeted remediation: readers can learn a domain, test recall immediately, examine the reasoning behind the answer, and return to the exact topic that needs reinforcement. The book clearly identifies its independent status and is not presented as an official publication of the credentialing organization.The instructional sequence covers Data Governance and Stewardship; Data Architecture, Management, and Integration; Data Quality Assessment and Improvement; Healthcare Analytics and Statistical Methods; Data Reporting, Visualization, and Communication; Regulatory Compliance, Privacy, and Security; Clinical Classification Systems and Coding; Consumer and Patient-Generated Health Data; Health Data Interoperability and Exchange; Healthcare Data Warehousing and Population Analytics; Professional Practice, Ethics, and Career Development in Health Analytics. This progression moves from foundational vocabulary and governing concepts into applied scenarios, operational decisions, and exam-style distinctions. Material is written for working professionals as well as career changers, with definitions, comparisons, practical examples, tables, and decision cues that connect terminology to the situations in which it is used.Major topics and study tools include Section 1: Patient Portals, PHR Systems, and Consumer Health Applications; Section 2: Patient-Reported Outcomes and PRO Performance Measures; Section 3: Wearables, Remote Patient Monitoring, and FHIR-Based Ingestion; Section 4: Data Quality Challenges in Patient-Generated Health Data; Section 5: Regulatory Context - 21st Century Cures Act, Information Blocking, and App Developer Obligations; Section 6: Privacy and Consent for Consumer-Generated Data - Secondary Use, De-identification, and Third-Party Data Flows; Review Questions; HL7 FHIR R4/R5: Resource Model, RESTful API, and SMART on FHIR; USCDI Versions 1, 2, and 3: Data Classes and Required Elements; US Core Implementation Guide: Must-Support, Conformance Language, and Profiles; C-CDA and CDA Documents: CCD, Discharge Summary, and Referral Note; Direct Messaging, Care Transitions, TEFCA, and QHIN Enrollment; ONC Cures Rule API Requirements: Patient, Provider, and Payer-to-Payer Exchange; Chapter 9 Review Questions; Data Warehouse Architecture in Healthcare; ETL/ELT Processes in Healthcare Analytics; Population Health Analytics: Risk Stratification and Care Gap Identification; Social Determinants of Health Data: Coding, Screening, and Integration; Clinical and Claims Data Integration; Dashboard Design for Population Health; Chapter 10 Review Questions; The AHIMA Code of Ethics: Principles and Analyst Dilemmas; CHDA Credential Maintenance: CE Requirements and Recertification; Data Analytics Project Management: CRISP-DM in Healthcare; Communicating Findings to Non-Technical Audiences; Emerging Roles for Health Data Analysts; Professional Networks and Continuing Education; Chapter 11 Review Questions; About This Examination; Questions 26-50. The breadth is intentional: certification questions often test the boundary between two plausible choices, so the guide emphasizes scope, exceptions, role ownership, sequence, and the consequence of choosing one action over another. Technical terms are introduced in context and revisited through questions and reference material rather than left as isolated glossary entries.Chapter review material supports targeted practice. Two mixed practice examinations provide answer explanations, and an objective crosswalk connects the teaching chapters to AHIMA’s six exam domains.
