Health Record Technician Coding/Abstracting - Health Information Management

William Osler Health System

4d•Remote

About The Position

William Osler Health System (Osler) is seeking a Health Record Technician Coding/Abstracting professional to join their Health Information Management team. This role involves coding and abstracting using National Ambulatory Care Reporting Systems (NACRS) and Discharge Abstract Database (DAD) following CIHI coding standards and ICD-10 CA/CCI guidelines. The position requires collaboration with various teams to ensure accurate data collection, submission, and funding. Osler is recognized as one of Canada's Best Diversity Employers and Greater Toronto's Top Employers, offering a safe and supportive healthcare network with opportunities for career growth and development.

Requirements

Graduate of a recognized health record information management program
Active CHIMA membership
Minimum five years DAD and NACRS coding experience using ICD-10/CCI and current knowledge of CIHI coding standards
Computerized abstracting experience; WINRECS preferred
Proficiency in Microsoft Office, CIHI coding queries, Meditech, EPIC, and eHIM
Must have an understanding and knowledge of CMG (Complexity)
Ability to apply data quality practices and standards to coding and abstracting functions
Must have excellent organizational, data interpretation and communication and critical thinking skills
Must demonstrate Osler's Values of Respect, Excellence, Service, Compassion, Innovation and Collaboration
Excellent attendance, punctuality and work record
Must be willing/able to work from home, as per the hospital criteria, after successfully completing probationary period, if requested by the hospital

Responsibilities

National Ambulatory Care Reporting Systems (NACRS) and Discharge Abstract Database (DAD) coding and abstracting following CIHI coding standards and ICD-10 CA/CCI guidelines
Request for clarification of uncertain clinical information in support of accurate data collection
Use of abstracting and report generation to ensure data submission/distribution to internal and external customers
Collaboration with the Registration, Decision Support, and Finance teams to enhance quality decision-making and accurate funding based on the clinical data
Participate in projects for the improvement of data quality
Practice self-development and continuous learning to enhance your skills and expand your expertise as a health information management professional
Other job functions as necessary to support the Health Information Management team