Supervisor Coding & Health Information

St. Joseph's Healthcare Hamilton•Hamilton, ON

4d•CA$47 - CA$55•Hybrid

About The Position

This position provides day-to-day leadership, oversight, training, and support to Clinical Coding Specialists. The role involves monitoring coding productivity, quality metrics, workflow management, and reporting deadlines. The Supervisor will provide guidance on CIHI coding standards, DAD and NACRS abstracting requirements, Ministry directives, and organizational policies. They will lead data quality initiatives, analyze audit findings, and develop strategies to address knowledge gaps and coding trends. This role also acts as a subject matter expert for coding inquiries and complex case reviews, and educates staff on case mix methodologies, CMG/HIG weighting, Quality Based Procedures (QBP), and funding implications. Additionally, the Supervisor participates in recruitment, onboarding, coaching, and performance management activities. The role also focuses on clinical documentation improvement initiatives to enhance coding accuracy, reporting quality, and funding outcomes, partnering with physicians, clinicians, operational leaders, and Digital Solutions teams. They will identify documentation gaps, risk areas, and trends impacting coding completeness and case mix reporting, and develop/maintain data quality standards, audit processes, data dictionaries, documentation guidelines, and reporting controls. Finally, the position manages timely and accurate submission of DAD, NACRS, ERNI, opioid reporting, and other mandatory provincial and national reporting requirements, monitors compliance with submission schedules and regulatory deadlines, and analyzes coded clinical data to support funding, quality improvement, operational planning, utilization management, and organizational decision-making.

Requirements

Graduate of a recognized Health Information Management diploma program.
Active certified member in good standing with the Canadian Health Information Management Association (CHIMA).
Minimum three-to-five (3-5) years of current DAD and NACRS coding and abstracting experience.
Minimum three (3) years of experience with CIHI data submissions and regulatory reporting requirements.
Demonstrated advanced knowledge of ICD-10-CA/CCI classifications, DAD and NACRS Abstracting Manuals, Canadian Coding Standards, Ministry directives and funding methodologies.

Nice To Haves

Bachelor's degree in Health Information Management or related discipline preferred.
Additional certifications related to health information management, healthcare analytics, or clinical documentation improvement considered an asset.

Responsibilities

Provide day-to-day leadership, oversight, training, and support to Clinical Coding Specialists.
Monitor coding productivity, quality metrics, workflow management, and reporting deadlines.
Provide guidance on CIHI coding standards, DAD and NACRS abstracting requirements, Ministry directives, and organizational policies.
Lead data quality initiatives, analyze audit findings and develop communication and improvement strategies to address knowledge gaps and coding trends.
Act as a subject matter expert for coding inquiries and complex case reviews.
Educate staff on case mix methodologies, CMG/HIG weighting, Quality Based Procedures (QBP), and funding implications.
Participate in recruitment, onboarding, coaching, and performance management activities.
Lead clinical documentation improvement initiatives that enhance coding accuracy, reporting quality, and funding outcomes.
Partner with physicians, clinicians, operational leaders, and Digital Solutions teams to improve documentation practices.
Identify documentation gaps, risk areas, and trends that impact coding completeness and case mix reporting.
Develop, maintain, and improve data quality standards, audit processes, data dictionaries, documentation guidelines, and reporting controls.
Manage timely and accurate submission of DAD, NACRS, ERNI, opioid reporting, and other mandatory provincial and national reporting requirements.
Monitor compliance with submission schedules and regulatory deadlines.
Analyze coded clinical data to support funding, quality improvement, operational planning, utilization management, and organizational decision-making.