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Career Resources:

Quality Improvement and Decision Support Specialist
Carefirst Seniors & Community Services Association
·
2.2
Toronto, ON
$70,000–$80,000 a year
Full-time
Apply now

Job details

Here’s how the job details align with your profile.

Pay

$70,000–$80,000 a year

Job type

Full-time

Benefits

Pulled from the full job description
Dental care
Extended health care

Full job description

The Carefirst Family Health Team (FHT) is seeking full-time permanent Quality Improvement Decision Support Specialist (QIDSS) to join our innovative, interdisciplinary team dedicated to delivering high-quality, community-based care.

About Us

Carefirst FHT is committed to delivering exceptional, comprehensive primary care through a collaborative, team-based model that includes family physicians, nurse practitioners, nurses, social workers, service navigators, dieticians, physiotherapists, and medical receptionists. We have a robust Chronic Disease Management and Prevention program, including a Diabetes Education Program, and are actively involved in many of the Ontario Health Team’s primary care initiatives.

Our “Hub & Spoke Model” and strong community partnerships ensure coordinated, high-quality, patient‑centred care across the continuum. We work closely with Carefirst Seniors & Community Services Association to provide truly integrated services.

On‑site & Integrated Programs/Services include:

  • Ontario Health atHome (formerly Home and Community Care Support Services)
  • MINT Memory Clinic
  • Ontario Structured Psychotherapy (OSP) Program
  • Specialist Clinics: psychiatry, cardiology, endocrinology, optometry, geriatric medicine, gynecology, chiropody, rheumatology, physiotherapy, and audiology

We are currently seeking a Quality Improvement Decision Support Specialist (QIDSS) to fill a new position at our Family Health Team.

Terms: Full Time Permanent

Location: 300 Silver Star Blvd.

Pay range: $70,000 – $80,000 annually

Essential Duties and Responsibilities:

  • Gather, clean/review, and analyze data from EMR, operational, and administrative systems to support quality improvement, program planning, clinical and leadership decision-making
  • Help guide clinical decision on patient-oriented programs, services and other improvement initiatives
  • Support quality improvement initiatives by extracting and analyzing health information from multiple electronic medical record (EMR) systems. Develop data queries, reports, and analytical tools to improve data integrity, enhance information flow, and provide decision-support insights that support clinical process improvements and organizational quality goals.
  • Develop reports, dashboards, and data visualizations that translate raw data into clear insights for clinical and non-technical audiences
  • Work with leadership, interprofessional teams, and Carefirst’s system partners to define data needs, identify gaps, and establish indicators for program monitoring and outcome measurement
  • Support the exploration, evaluation, and piloting of AI tools and projects that improve office operations — including documentation, meeting support, knowledge management, and internal communications
  • Support AI-enabled program development by helping program teams identify how AI can enhance program design, delivery, and client experience
  • Collaborate with program managers and external vendors to test and implement AI solutions safely, effectively, and in alignment with organizational priorities
  • Maintain clear documentation of data processes, analyses, AI pilots, and project outcomes
  • Apply strong understanding of Personal Health Information (PHI), PHIPA, and confidentiality principles to all aspects of work
  • Other duties and projects as assigned.

Qualifications & Job Requirement:

  • Post-secondary degree or diploma in Data Science, Health Science, Data Analytics, Statistics, Epidemiology, Information Technology, Computer Science, or a related discipline
  • Minimum of two (2) years of relevant experience in data analysis, artificial intelligence, health informatics, or a similar role; experience in primary care, population health, or community services is an asset
  • Demonstrated experience in data quality for quality improvement, clinical information management best practices
  • Strong data analysis skills, including comfort working with structured data, writing queries, and building reports and dashboards
  • Working knowledge of tools such as Excel (advanced), SQL, Power BI, Tableau, or equivalent reporting platforms
  • Experience with EMR-based reporting (e.g., TELUS PS Suite or equivalent Ontario EMR environments) is an asset.
  • Working knowledge of AI fundamentals, including core concepts in machine learning and data science (supervised vs. unsupervised learning, training vs. inference, model evaluation, and the limitations and risks of AI)
  • Hands-on experience using general-purpose AI assistants (e.g., Claude, ChatGPT, Microsoft Copilot) for drafting, summarizing, research, and analysis, with practical understanding of effective prompting and review of AI-generated output
  • Familiarity with AI project tools such as Claude Code (for scripting and automation), Synthesia (AI video), and Wix or similar AI-assisted web platforms is an asset
  • Solid understanding of PHI, PHIPA, and confidentiality obligations in healthcare settings
  • Strong analytical and problem-solving skills with attention to detail
  • Proficiency in English (Cantonese and Mandarin are assets)
  • Current police vulnerable sector check completed within one year

Benefits:

  • Dental Care
  • Extended Health Care
  • HOOPP
  • Comprehensive Orientation Program
  • Training and Education Subsidy

Application Deadline: October 31, 2026

Interested applicants may apply through Carefirst’s careers page, Indeed, or by emailing hr@carefirstontario.ca

Carefirst is an equal opportunity employer. We are also committed to an environment that is barrier free. If you require accommodation during the hiring process, please inform us in advance to arrange a reasonable and appropriate accommodation.

While we thank all candidates for their interest, only those selected for an interview will be contacted.

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