Data Quality Assistant

The Coding Data Quality Assistant plays a critical role in ensuring the accuracy, reliability, and integrity of the organization’s coded and abstracted health information. This position supports high‑quality data capture by validating clinical documentation, identifying inconsistencies, and applying established coding, documentation, and regulatory standards. Through detailed audits, trend analysis, and collaboration with Clinical Coders and Analysts, the role strengthens compliance, reduces organizational risk, and supports continuous quality improvement.

By safeguarding the quality of datasets used for funding, performance measurement, case mix, and strategic reporting, the Coding Data Quality Assistant directly contributes to reliable decision‑making and the overall effectiveness of the organization’s information management practices.

• Collects and synthesizes information from diverse clinical and administrative sources to ensure all required data elements are captured accurately for downstream abstraction and reporting.
• Interprets complex clinical documentation and coded data (diagnoses, interventions, timelines, demographics) to validate accuracy and completeness.
• Requests clarification or corrections from Clinical Coders when discrepancies or documentation gaps are identified.
• Applies advanced knowledge of classification systems, terminology standards, and data structures to maintain consistency across records and support reliable analytics and regulatory submissions.
• Ensures data entry aligns with system logic, workflow dependencies, and organizational data architecture to prevent downstream errors.

• Conducts structured and ad hoc audits of coded and abstracted records using both manual review and system‑generated audit tools.
• Evaluates data accuracy against organizational policies, national coding standards, and regulatory requirements, ensuring findings are evidence‑based and traceable.
• Produces detailed audit summaries highlighting root causes, risk implications, and required corrective actions.
• Collaborates with staff to ensure issues are understood and resolved.
• Tracks audit outcomes over time to identify systemic issues, emerging trends, and opportunities for targeted quality improvement.

• Ensures all coded and abstracted data adheres to internal policies, external regulations, and funding frameworks, including ICD‑10‑CA, CCI, ALR, CCRS, and NRS standards.
• Monitors compliance indicators and identifies potential risks related to coding accuracy, documentation sufficiency, or submission readiness.
• Works closely with Leads, Analysts, and Coding teams to investigate discrepancies, validate interpretations, and implement corrective actions prior to reporting deadlines.
• Supports organizational readiness for external audits by maintaining thorough documentation and ensuring data integrity across reporting cycles.

• Completion of an accredited Health Information Management program
• * Certified active member of Canadian Health Information Management Association (CHIMA) 
• Experience in ICD-10/CCI coding system and CMG, RIW assignment methodology.
• Experience with coding and abstracting software preferably Med2020.
• Minimum of 3 years’ experience in coding and abstracting.
• Experience in an electronic health record environment as well as a paper-based system
• Experience in hospital information systems preferably EPIC, MosaiQ, OPIS
• Computer proficiency in the MS-Suite of Windows applications
• Excellent communication skills and good judgment  
• Self-directed and the ability to work independently and under occasional interruptions