Thursday, March 26, 2026 at 5:00 PM
Online Streaming Available
March 26th, 2026 1.00 AMA PRA Category 1 Credit Hours
Description
Despite a decade of curricula grounded in evidence-based strategies to teach clinical reasoning, diagnostic error remains a major cause of patient harm. Generative AI is creating a fundamental shift in how clinicians reason through diagnosis and management decisions. Human-AI collaboration in the clinical reasoning process has the potential to improve outcomes when integrated with the proper training, but inappropriate use can worsen patient care and lead to clinician deskilling. Dr. Schaye will present practical frameworks and evidence-based strategies to ensure AI augments, rather than undermines, clinical reasoning education, from curriculum design to bedside teaching to assessment.
Dates and Times
Start: 3/26/2026 5:00 PM
End: 3/26/2026 6:00 PM
Objectives
- Recognize the impact of diagnostic errors and strategies to teach and assess clinical reasoning
- Identify how artificial intelligence will transform how we teach and assess clinical reasoning
- List next steps of implementing artificial intelligence into teaching and assessment of clinical reasoning
Speakers
Location
LINCATS Conference Room Basic Science Tower, Level 6
100 Nicolls Rd #271, Stony Brook University
Stony Brook, NY 11566
Accreditation
The School of Medicine, State University of New York at Stony Brook, is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The School of Medicine, State University of New York at Stony Brook designates this live activity for a maximum of 1.00 AMA PRA Category 1 Credits ™. Physicians should only claim the credit commensurate with the extent of their participation in the activity.
Need help with this Grand Round Session?
Please contact the Grand Round coordinator listed below:
Maria Athanasopoulou
Email: maria.athanasopoulou@stonybrook.edu