Published: January 25, 2021
Source: https://www.ams-inc.on.ca/
AMS Healthcare is pleased to announce the inaugural cadre of our Fellows in Compassion and Artificial Intelligence. These 11 exceptional individuals, from across multiple disciplines, have been selected as innovators and leaders to steward the changes ahead in healthcare. They will explore the rapid integration of technology, ensuring new models of care remain grounded in healthcare’s compassionate purpose. Their collective research will innovate medicine and clinical care, healthcare education, home care and beyond. “AMS wants to ensure that healthcare remains compassionate in an era of emerging and disruptive technologies” says AMS CEO Gail Paech. “The work of these trailblazers will be critical in that pursuit.”
Understanding AI implications for stigma and compassion in mental health and addiction
Bioethicist- Independent Scientist, Centre for Addiction and Mental Health
Exploring the impact of genomics and AI on health equity and compassionate care in oncology
Clinical Fellow, Schulich School of Medicine, Western University
Understanding the emerging intersection between digitally-enabled and compassionate care.
Scientist, Women’s College Hospital
Developing tools to assist people with cognitive decline benefit from home monitoring technologies.
Assistant Professor, School of Rehabilitation Therapy, Queen’s University
Developing an AI-enabled program that codes parent-infant interaction quality
Postdoctoral Fellow, Faculty of Nursing, University of Calgary
Developing teaching approaches to support compassionate virtual care
Director of Research, Centre for Faculty Development, St. Michael’s Hospital, Unity Health Toronto
Exploring how trust-based relationships, needed for compassionate care, can be built (or prevented) through digital health tools
Scientist, Lunenfeld-Tannenbaum Research Institute, Sinai Health System
Enhancing pediatric pain research and compassionate pain care through the integration of AI methods
Nurse Clinician-Scientist, The Hospital for Sick Children (SickKids)
Using AI to reduce falls in long-term care
Scientist, KITE, Toronto Rehabilitation Institute- University Health Network
Amol Verma Evaluating AI prediction tools in enhancing compassionate care in hospital Physician-Scientist, St. Michael’s Hospital, Unity Health Toronto
Creating an AI tool to predict the survival of long-term care residents with Covid-19 infection
Postdoctoral Fellow, Ottawa Hospital Research Institute
AMS works to advance a Canadian healthcare system through innovation and technology while remaining rooted in compassion and our medical history. We convene networks, develop leaders, and fund crucial activities in medical history, healthcare research, education, and clinical practice. Our work helps improve care for all Canadians.