The Compassion Code, Promoting Fairness in AI for Mental Health
Good Tech, Compassionate Healthcare
Release Date: 01/17/2024
Optimizing AI - Part Two
Good Tech, Compassionate Healthcare
Thank you for joining us for this special episode of Good Tech Compassionate Healthcare. In May of 2024, AMS Healthcare was thrilled to convene 170 healthcare stakeholders from across Ontario to delve into the timely and ethical scaling of AI in our healthcare sector. The insights we gained were invaluable. The conference revealed a consensus that there is an urgent need to deploy AI solutions in the most capacity-challenged areas of our healthcare system, particularly in primary care. This move is crucial to reducing workforce burnout and improving workflows. Many of the leaders that we spoke...
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Optimizing AI - Part One
Good Tech, Compassionate Healthcare
Thank you for joining us for this special episode of Good Tech Compassionate Healthcare. In May of 2024, AMS Healthcare was thrilled to convene 170 healthcare stakeholders from across Ontario to delve into the timely and ethical scaling of AI in our healthcare sector. The insights we gained were invaluable. The conference revealed a consensus that there is an urgent need to deploy AI solutions in the most capacity-challenged areas of our healthcare system, particularly in primary care. This move is crucial to reducing workforce burnout and improving workflows. Many of the leaders that we spoke...
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Virtual End-of-Life Care w/ Dr. Kieran Quinn and Dr. James Downar
Good Tech, Compassionate Healthcare
In this conversation, Kieran Quinn, a general internist and palliative care clinician-scientist at Sinai Health in the Department of Medicine and at the Institute of Health Policy, Management, and Evaluation at the University of Toronto, and James Downer, a critical care and palliative care physician in Ottawa, discuss virtual end-of-life care during the COVID-19 pandemic. - The Pan-Canadian Palliative Care Research Collaborative is a national network of researchers, healthcare providers, community stakeholders, and patient and caregiver partners who are passionate about palliative care...
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Leveraging AI to Enable Compassionate and Equitable Community Care and Nursing
Good Tech, Compassionate Healthcare
In this conversation, Charlene Ronquillo, a Filipina scholar, registered nurse, and health implementation expert at the University of British Columbia School of Nursing, engages in a captivating dialogue with Chantelle Recsky, a dedicated nurse and postdoctoral research fellow. Together, they delve into the crucial topic of "Advancing Compassionate and Equitable Healthcare through Technology." Charlene, an AMS healthcare fellow and compassion and AI advocate, brings her extensive background as a health informatician, focusing on critical theory and implementation science. Her program of...
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The Compassion Code, Promoting Fairness in AI for Mental Health
Good Tech, Compassionate Healthcare
In this conversation, Laura Sikstrom, a Medical Anthropologist and Project Scientist at The Krembil Center for Neuroinformatics at the Center for Addiction and Mental Health, and an AMS Healthcare fellow in Compassion and AI, speaks with Sean Hill, the Director of The Krembil Center for Neuroinformatics, Senior Scientist at the Center for Addiction and Mental Health, and Professor at the University of Toronto. They discuss the meaning of fairness in mental health and the concepts used to support. Dr. Laura Sikstrom is also an assistant professor (status-only) in the Department of Anthropology...
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Generative AI in Healthcare
Good Tech, Compassionate Healthcare
In this conversation Dr. Kumanan Wilson, speaks to Jaron Chong, discuss the opportunities for generative AI in healthcare diagnosis, efficiencies and education today and tomorrow. Dr. Jaron Chong is an Assistant Professor of Diagnostic Radiology at the Department of Medical Imaging at Western University. He completed diagnostic radiology residency training at McGill University with a Body Cross-Sectional Imaging Fellowship at Yale New-Haven Hospital and a Masters in Health Informatics at the University of Toronto. His clinical interests include...
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Technology, Compassion and the Social Determinants of Health
Good Tech, Compassionate Healthcare
In this conversation, Ibukun Abejirinde, a scientist at the Institute for Health System Solutions at Women's College Hospital, and Assistant Professor at the Dalla Lana School of Public Health at the University of Toronto, and an AMS Healthcare Fellow in Compassion and AI chats with Terence Tang, a General Internal Medicine Physician at Trillium Health Partners, a Clinician Scientist at the Institute for Better Health and an AMS Healthcare Fellow in Compassion and AI. They discuss social determinants of health, health inequities, and digitally enabled models of care. Ibukun Abejirinde is an...
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Risk Algorithms and Self-Management of Care in Older Adults
Good Tech, Compassionate Healthcare
In this episode, , Assistant Professor of Nursing at Brock University and an AMS fellow in compassionate AI, and , Associate Professor at McMaster University and the Research Director at the St. Joseph's Health System Center for Integrative Care in Hamilton and Connie's mentor, discuss Connie's research on compassion centered communication of risk and self administered online health assessments. St. Joseph's Center for Integrated Care - YourCare+ Check-Up Assessment - References Schumacher, C., Dash, D., Mowbray, F., Klea, L., & Costa, A. (2021). A qualitative study of home...
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Digital Monitoring of Stress Responses Among Nursing Professionals
Good Tech, Compassionate Healthcare
Biographies Program: Useful Resources: Pertinent Publication Links:
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Digital Therapeutics Informed by Lived Experience
Good Tech, Compassionate Healthcare
Welcome to our conversation titled, Digital Therapeutics Informed by Lived Experience. In this conversation Quynh Pham, Scientific Director and Principal Investigator at the Center for Digital Therapeutics at the University Health Network, and an AMS healthcare fellow and Compassionate AI, speaks with Joseph Cafazzo, Biomedical Engineer, Educator and Researcher, and the Wolfond Chair in Digital Health University Health Network. Quynh and Joe engage on digital health, digital therapeutics and the lived stories that have inspired their groundbreaking work. Twitter: / Academic...
info_outlineIn this conversation, Laura Sikstrom, a Medical Anthropologist and Project Scientist at The Krembil Center for Neuroinformatics at the Center for Addiction and Mental Health, and an AMS Healthcare fellow in Compassion and AI, speaks with Sean Hill, the Director of The Krembil Center for Neuroinformatics, Senior Scientist at the Center for Addiction and Mental Health, and Professor at the University of Toronto. They discuss the meaning of fairness in mental health and the concepts used to support.
Dr. Laura Sikstrom is also an assistant professor (status-only) in the Department of Anthropology at the University of Toronto. Dr. Sikstrom also co-leads the Predictive Care Team at CAMH, which focuses on the intricate intersection of artificial intelligence (AI) and mental health care. By integrating computational techniques with ethnographic insights, this team investigates the potential and challenges of incorporating AI into mental health practice, with a focus on compassionate and equitable care. Dr. Sikstrom received funding from AMS Healthcare, Google, SSHRC and CIHR and is also a nominee for the prestigious Governor General’s Gold Award.
Dr. Sean Hill is also a computational neuroscientist with experience in building large-scale computational models of brain circuitry. The Centre collaborates with clinicians and researchers, employing neuroinformatics, artificial intelligence, and multi-scale modeling, to develop data-driven definitions of brain disorders, predict patient trajectories, and transform mental health care. Dr. Hill applies large-scale data integration, neuroinformatics, multiscale brain modeling and machine learning to improve our understanding and treatment of mental health disorders. The Centre’s mandate is to accelerate global collaborations in brain science using the power of big data and brain modeling to fundamentally change how mental illness is understood.
Resources:
Sikstrom, Laura, Marta M. Maslej, Zoe Findlay, Gillian Strudwick, Katrina Hui, Juveria Zaheer,
Sean L. Hill, and Daniel Z. Buchman. 2023. “Predictive Care: A Protocol for a Computational
Ethnographic Approach to Building Fair Models of Inpatient Violence in Emergency
Sikstrom, Laura, Marta M. Maslej, Katrina Hui, Zoe Findlay, Daniel Z. Buchman, and Sean L. Hill.
2022. “Conceptualising Fairness: Three Pillars for Medical Algorithms and Health Equity.”
What is ‘AI’ and what is it doing in psychiatry? A webinar presented at the RBC Patient & Family
Learning Space, CAMH, November 2, 2022. https://www.youtube.com/watch?v=qVUs-BnGIOU
What happens to our brains when we get depressed? The Walrus, 2021, by Simon Lewsen.
https://thewalrus.ca/what-happens-to-our-brains-when-we-get-depressed/