Other Affiliations:
Project Scientist, Kremblil Centre for NeuroInformatics @ Centre for Addiction and Mental Health
Compassion and AI fellow, AMS Healthcare
Research Interests: Digital health, Digital mental health, Patient engagement, Privacy, Trust, Compassion, Implementation sciences, Design thinking
Professional Interests: I am a project scientist at the Centre for Addictions and Mental Health, Toronto, Canada. Broadly, my research asks “how might we” design, implement, and improve digital health innovations to empower, activate, and support those seeking and needing care.
At the Digital Innovation Lab at CCI, my program of research is participatory and uses mixed methods to engage patients, families, clinicians and other stakeholders in the design of technologies, processes, policies, and strategies that support digital health and AI initiatives. My research includes patient engagement, privacy, trust, compassion adoption theory, implementation sciences, and design thinking; however, I am a lifelong student and always looking to learn new things.
One particular interest of mine is patient privacy—an oft-cited adoption and implementation barrier in health informatics. Together, with Canada Health Infoway, we have been exploring patient and public privacy perspectives on the digital health ecosystem. Through this work, we hope to identify ways we can foster trust and acceptance in an ever evolving and unregulated digital health and AI eco-system.
I also teach Evaluation Methods for Health Informatics in the Master of Health Informatics program (MHI2009).
Recent Accomplishments:
2021 — Co-Recipient, Eugenie Stuart Teaching Award for Health Informatics, Institute of Health Policy, Management and Evaluation, University of Toronto
2020 — 2019 Best papers in Clinical Information Systems, International Medical Informatics Association (IMIA)Yearbook 2020 (DOI: 10.1055/s-0040-1702019)
2019-2021 — CIHR Health Systems Impact Fellowship (Post-Doctoral)
The IDEA Study identifies and adapts interventions to reduce documentation burden and improve nurses’ efficiency in using electronic health record systems.