This webinar explores a practical ethical framework for understanding how AI is reshaping healthcare, with a focus on clinical practice and clinical documentation. Using the SPECTRAILS model, the session examines interconnected dimensions such as privacy, transparency, equity, responsibility, and labor, and how they play out in real-world examples. Participants will consider the trade offs between efficiency and clinical judgment, especially in the use of AI tools like clinical scribes, and reflect on how AI can both support and potentially undermine patient centered care. The goal is to equip clinicians and leaders with a structured way to surface, analyze, and justify ethical decisions when adopting AI in their own settings.
Cut Through The Noise: A Framework For Canadian Clinicians
CAN-eng
$0
gratuit
Non accrédité
45 min
Anglais
0 Crédits
Description du cours
Détails du cours
Date d'expiration : 2026-12-16
Métiers: Physician, Nursing, Pharmacy, Allied Health, Medical Resident, Student, Specialist
Faculté
Dr. Joshua (Gus) Skorburg, PhD
Accréditation
Objectif(s) d'apprentissage
After completing this program, participants will be better able to:
- Décrire how AI is increasingly mediating key life and healthcare decisions, and explain why this raises important ethical questions in clinical practice.
- Résumer the SPECTRAILS framework and explain how dimensions such as privacy, transparency, equity, and responsibility are interconnected in the context of AI in healthcare.
- Analyze the ethical trade offs of using AI tools in clinical documentation, such as AI scribes, in terms of efficiency, clinician judgment, accountability, and patient care.
- Apply the SPECTRAILS lens to identify and articulate potential risks, benefits, and trade offs when evaluating or implementing AI tools within their own clinical or organizational context.