Career Opportunities: Data Quality Lead - HIS )

Lead the Data Behind Better Healthcare

At Kingston Health Sciences Centre (KHSC), the information we collect today shapes the healthcare decisions of tomorrow.

We are seeking a Data Quality Lead to champion the integrity, quality, and accuracy of clinical health information across our organization. In this specialized leadership role, you will combine your expertise in health information management, clinical coding, auditing, education, and data analytics to support patient care, hospital funding, research, healthcare planning, and provincial reporting.

If you are passionate about data quality, continuous improvement, professional education, and making a meaningful impact within one of Ontario's leading academic health sciences centres, we invite you to join our team.

About Kingston Health Sciences Centre

KHSC is southeastern Ontario's leading acute-care academic health sciences centre, providing complex and specialty care to people across the region. We are committed to delivering exemplary patient-centred care, advancing healthcare through innovation and research, and fostering a workplace where people can thrive.

This is the place where your expertise helps shape the future of healthcare.

What You'll Do

As the Data Quality Lead, you will serve as a subject matter expert and resource for Health Information Management professionals, clinicians, physicians, and organizational stakeholders.

Your responsibilities will include:

Data Quality & Clinical Coding Leadership

- Lead data quality initiatives for Discharge Abstract Database (DAD), National Ambulatory Care Reporting System (NACRS), Oncology, Trauma,



and Mental Health reporting.
- Perform coding, abstracting, auditing, and validation activities in accordance with CIHI, Cancer Care Ontario, WHO, and organizational standards.
- Monitor evolving classification systems, coding standards, and reporting requirements and assess their impact on departmental practices.
- Identify trends and opportunities for improvement through detailed data analysis and quality assurance reviews.

Education & Knowledge Sharing

- Provide orientation, education, and ongoing training to Health Information Management professionals.
- Develop and deliver educational sessions related to coding standards, data quality, documentation requirements, and abstracting practices.
- Support physicians, clinical staff, and HIM practicum students through training and consultation.
- Facilitate meetings and discussions to address coding questions, best practices, and quality concerns.

Auditing & Analytics

- Design and conduct comprehensive quality assurance audits.
- Analyze and interpret data from Med2020 Winrecs, Oncology systems, Quadramed PCS, OPIS, ARIA, and other clinical systems.
- Produce reports and data insights that support operational decision-making, funding, research, and performance improvement initiatives.




- Collaborate with analysts and operational leaders to ensure data accuracy and consistency across reporting systems.

System & Process Improvement

- Support testing, validation, and implementation of software updates and enhancements.
- Contribute to the development and maintenance of policies, procedures, standards, and reference materials.
- Drive standardization of data definitions and work processes across sites and programs.
- Support timely and accurate submissions to CIHI, Ontario Health, and other provincial reporting bodies.

What You Bring

Required Qualifications

- Graduate of an approved Health Information Management program.
- Active certification and membership with the Canadian Health Information Management Association (CHIMA) .
- Minimum three (3) years of coding experience involving DAD, NACRS, and Oncology reporting within an acute care setting.
- Strong knowledge of:
- ICD-10-CA
- Canadian Classification of Health Interventions (CCI)
- AJCC staging classifications
- CIHI standards and reporting requirements
- Ontario Health and Cancer Care Ontario coding and abstracting guidelines

- Experience with Med2020 Winrecs, Oncology, Treat and Collector abstracting systems.
- Knowledge of Case Mix Groups (CMGs), Resource Intensity Weights (RIWs), complexity measures, and healthcare reporting methodologies.
- Experience with Crystal Reports, data analysis, reporting, and database concepts.

Additional Qualifications

- Strong understanding of health information legislation, including:
- Public Hospitals Act
- Mental Healt

📌 Data Quality Lead (Kingston)
🏢 Kingston Health Sciences Centre
📍 Kingston