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This project explores how AI can be embedded in team workflows without compromising human roles, care values, or ethical standards.
Project Team
A purposefully interdisciplinary team — faculty leads from Family Practice, Computer Science, and Linguistics; Nursing; clinician perspectives; UBC Health leadership; and doctoral students drawn from complementary programs.
Faculty Leads
Dr. Sian Tsuei, Clinical Assistant Professor, Department of Family Practice.
Associate Faculty, School of Population and Public Health, Faculty of Medicine, UBC · Adjunct Professor, SFU Faculty of Health Sciences.
Dr. Cristina Conati, Professor, Department of Computer Science.
Faculty of Science, The University of British Columbia.
Dr. Muhammad Abdul-Mageed, Canada Research Chair in Natural Language Processing & Machine Learning.
Associate Professor, Linguistics / School of Information, Faculty of Arts · Associate Member, Computer Science · Director, Deep Learning & NLP Group, UBC.
Faculty Collaborators
Dr. Scott Ramsay, Assistant Professor, UBC Nursing, Faculty of Applied Science.
Investigator and Nurse Clinician, BC Children's Hospital Research Institute.
UBC Health Leadership
Dr. Naznin Virji-Babul, Director, Interdisciplinary Research, UBC Health
Professor, Department of Physical Therapy, Faculty of Medicine · Director, Perception-Action Lab, Djavad Mowafaghian Centre for Brain Health, UBC.
Dr. Christie Newton, Associate Vice-President, Health, Office of the VP Health.
Associate Professor, Department of Family Practice, Faculty of Medicine, UBC.
Teo Quay, Assistant Director, Research, UBC Health.
Office of the VP Health, The University of British Columbia.
Doctoral Students
Tawkat Khondaker, PhD Student, Department of Computer Science, UBC.Research focus: natural language processing and machine learning approaches for health care applications.
Samir Damji, PhD Student, Neuroscience, UBC.Research focus: clinical and health-system perspectives on integrating AI into team-based primary care.
What We're Producing
Scholarly publications, practice and policy outputs, and training materials — co-produced with partners and disseminated to academic, clinical, community, and policy audiences.
A library of outputs will be shared as the project progresses.