Coping with grief in the digital era: exploring the role of compassion
Post-Doctoral Fellow, Centre for Addiction and Mental Health Given the ongoing COVID-19 pandemic and opioid crisis, individuals across Canada have been impacted by the loss of someone they know. This loss effects many domains of one’s life, including emotional and behavioral. Grief following bereavement is an extremely painful, but unfortunately common experience. Strategies to cope…
Read MoreIdentifying patient‐validated compassion and equity concepts in community care clinical notes through natural language processing
Assistant Professor, The University of British Columbia – Okanagan In Charlene’s project, she aims to develop and test compassion and equity-grounded natural language processing (NLP) application to leverage otherwise unused community nursing clinical notes. She will develop a dictionary that merges understandings of equity and compassionate care from the perspectives of community nurses and patients…
Read MoreRe-imagining digital health compassion through the lens of Canadian newcomers
Scientist at the Institute for Health System Solutions and Virtual Care at Women’s College Hospital Virtual care can be beneficial, but it can also result in Canadian newcomers (landed immigrants and refugees) being excluded within the health care system. This can add to the stress they experience from adjusting to a new country and system.…
Read MoreUsing digital models and visualization to help patients better understand prognosis and uncertainty
Radiation Oncologist, London Health Sciences Centre Understanding prognosis is important for treatment decisions, life planning, and psychological well-being in patients with metastatic disease. Physicians are increasingly using statistical and AI-based models for prognosis estimates, but these are inaccessible to patients. No models are designed specifically for patient use. How are patient interactions with prognosis models…
Read MoreUsing machine learning to predict cognitive decline among long-term care residents in Ontario
Post-Doctoral Fellow, Ottawa Hospital Research Institute Being able to anticipate cognitive decline can help long-term care residents and their family caregivers plan for care options and address modifiable factors in a compassionate and timely manner. Wenshan’s project will describe cognitive trajectories of long-term care residents in Ontario, highlighting the impact of social isolation before and during…
Read MoreExploring how older adults and carers perceive and experience a real-time location system in a long-term care home
Assistant Professor of Gerontology, Department of Recreation and Leisure Studies and Master of Applied Gerontology, Brock University Real-time location systems are technologies that continuously track the location of individuals and assets. These are being implemented in long-term care homes with an interest in improving the quality of care through automation of care tasks and prediction…
Read MoreBuilding an automated titration model on the optimization of guideline-directed medical therapy for patients with heart failure
Senior Scientific Associate, Centre for Global eHealth Innovation, University Health Network (UHN) The latest treatment for patients living with heart failure involves a complex medication protocol that aims at achieving target doses of four medications within six months of initial diagnosis. Despite research showing improved outcomes of this approach, less than 10% of patients achieve…
Read MoreUsing immersive virtual reality to decrease pain and distress in patients in complex continuing care
Affiliate Investigator, Bruyère Research Institute Many patients in complex continuing care (CCC) experience pain, either chronic or episodic (for example, during wound dressing changes). The objective of Lisa’s project is to assess the impact of Immersive Virtual Reality (IVR) on pain and distress in patients living in CCC. Up to 50 patients will receive IVR…
Read MoreCo-designing a Fairness Dashboard for clinical applications of Artificial Intelligence in mental health
Project Scientist at the Centre for Addiction and Mental Health To benefit from major breakthroughs in Artificial Intelligence, the Centre for Addiction and Mental Health (CAMH) launched the BrainHealth Databank (BHDB). The BHDB is an AI-enabled digital ecosystem designed to integrate clinical and research data streams. Laura’s project will co-design and embed a Fairness Dashboard…
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