University Health Network - Michener Institute of Education

Artificial Intelligence & Mental Health Care

Overview

Completed the University Health Network’s Artificial Intelligence (AI) and Mental Health Care: Practical Opportunities for Clinical and Administrative Implementation professional development program in June 2026.

The program explored the practical application of artificial intelligence within healthcare organizations, with an emphasis on responsible implementation, clinical and administrative workflows, governance, privacy, algorithmic bias, and change management. Through real-world healthcare case studies, the program examined current AI technologies while emphasizing patient safety, ethical decision-making, evidence-based implementation, and organizational readiness.

Why I Took This Course

Throughout my career I’ve focused on reducing administrative burden through better technology and workflow design. As AI becomes increasingly integrated into healthcare, I wanted a stronger foundation for evaluating where these tools genuinely improve patient care and operational efficiency—and where human expertise and oversight remain essential.

This course built upon my experience in EMR optimization, referral workflow automation, and digital transformation by providing a structured framework for evaluating and implementing AI responsibly within healthcare organizations.

Artificial Intelligence & Mental Health Care

Artificial Intelligence & Mental Health Care

Reflections

One of the biggest lessons I took away from this program was that successful AI implementation isn’t primarily a technology problem. Organizations often already have access to capable AI tools; the greater challenge is integrating them responsibly into existing workflows while maintaining privacy, governance, transparency, and patient trust. That perspective reinforced many of the challenges I’d already encountered while leading healthcare technology projects.

Key Competencies

  • Responsible AI implementation
  • Clinical decision support
  • Administrative AI applications
  • AI governance
  • Privacy & security
  • Algorithmic bias & fairness
  • Change management
  • Evidence-based AI evaluation

Applying these principles

Since completing this program, I’ve continued exploring how AI can reduce administrative burden in healthcare through workflow automation, referral management, and clinical support. My focus remains on identifying practical applications that improve efficiency while preserving clinician oversight, patient privacy, and evidence-based care.