Developing a compassionate digital health system to support patients with dementia and their caregivers in the community, with a focus on inclusion and caregiver support in home deployment.
Scientist, University Health Network A large portion of people living with dementia (PlwD) in the community exhibit responsive behaviors that could lead to injuries and distress to them and their caregivers. In this project, Shehroz will co-design his cloud-based digital health platform with PlwD and their caregivers to deploy it in homes while keeping their…
Read MoreUsing machine learning approaches to predict tumour recurrence and progression to provide personalized and compassionate care for non-muscle invasive bladder cancer patients
Surgical Oncologist, Division of Urology at Trillium Health Partners Bladder cancer is the most expensive cancer to treat due to high recurrence rates and a need for lifelong disease surveillance. Current monitoring strategies are costly, patient unfriendly, and lack supporting evidence. Existing predictive models perform poorly and do not capture changes in patients’ cancer course…
Read MoreFrom depersonalization to compassion: co-creating better ways to use messaging technology in primary care
Scientist, Women’s College Hospital Institute for Health Systems Solutions & Virtual Care (WIHV). Electronic messaging in primary care, whether exchanged by team members, specialists, or patients, can reduce barriers to communication. Unfortunately, they also contribute to burnout and risk depersonalization of care. In this work, Jennifer will co-develop ways of using e-messaging technology to advance…
Read MoreArtificial Intelligence and Human Rights Respecting Mental Healthcare: What Role for Law?
Acting Director, University of Ottawa Centre for Health Law, Policy, and Ethics Canada urgently needs better access to mental health services. Artificial intelligence (AI) has been embraced by some as a tool for addressing accessibility problems, e.g., AI-powered chatbots offer therapy, and AI algorithms harness social media data to detect suicidal ideation. While AI holds…
Read MorePromoting compassionate care in acute psychiatry with human-AI teams
Scientist, Krembil Centre for Neuroinformatics at The Centre for Addiction and Mental Health The future deployment of AI-based clinical support in psychiatry is thought to rely on successful human-AI teaming, which involves AI enhancing human abilities to process information or make decisions, rather than replacing them. Unfortunately, there is little empirical work into how successful…
Read MoreUnderstanding compassionate electronic health information exchange from the perspective of people who have substance use disorders
Associate Scientist, Digital Mental Health Lab within the Krembil Centre for Neuroinformatics at the Centre for Addiction and Mental Health (CAMH) Electronic health information exchange (HIE) allows clinicians to securely access and share patients’ medical information between institutions. Sensitive health information, such as a diagnosis of substance use disorder (SUD), carries an increased risk of…
Read MoreBuilding Compassionate Digital Capacity to Manage Childhood Cancer Pain: Parent Co-Design of the PainCaRe app.
Assistant Professor, Lawrence S. Bloomberg Faculty of Nursing, University of Toronto Almost all children with cancer will experience pain. This pain decreases quality of life for the child and their caregivers—and is a significant financial burden to families and health systems. App-based digital solutions are uniquely poised to offer real-time and accessible compassionate healthcare and…
Read MoreUsing artificial intelligence to prevent blood clots in cancer patients
Medical Oncologist and Clinician Investigator, Princess Margaret Venous thromboembolism, also known as blood clots, are a common and potentially deadly complication of cancer and its treatment. New pills, called direct oral anticoagulants, can prevent blood clots, but they come with a risk of bleeding. Currently there is limited ability to predict who benefits from these…
Read MoreCo-designing a multi-modal sensor system to enable compassionate hip-fracture recovery at home for older adults
Assistant Professor, Lawrence S. Bloomberg Faculty of Nursing, University of Toronto Hip fracture,is a very common injury among older adults (OAs) and recovery is challenging for older adults with comorbidities. Charlene’s project will provide compassionate hip fracture recovery by refining an AI-based sensor system to assist OAs’ hip fracture recovery at home. She hopes the…
Read MoreLearning to Trust: Advancing human-machine trust pedagogies for a technology enabled compassionate workforce in Northern and rural Canada
Associate Professor of Medical Education, NOSM University Artificial intelligence (AI) is transforming patient care through human-machine augmented innovations in Canada. While most AI research has occurred in large urban cities in Canada, there are growing calls to build an AI research ecosystem that is more responsive to the unique needs of rural and Northern Canada.…
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