Using 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 MoreFacilitating communication between persons with dementia and their family caregivers through a multisensory virtual reality intervention
Raheleh will design and evaluate a virtual reality at-home intervention that facilitates communication between the person with dementia and their family caregivers, improving interpersonal relationships and well-being.
Read MoreUnderstanding the emerging intersection between digitally-enabled and compassionate care.
Laura is exploring how digital care influences interactions in primary care and how we can leverage technology to amplify compassion.
Read MoreDeveloping tools to assist people with cognitive decline benefit from home monitoring technologies
Dorothy will work to ensure people with Mild Cognitive Impairment benefit from monitoring technology and can remain safely in their homes.
Read MoreDeveloping an AI enabled program that codes parent-infant interaction quality
Lyndsay will develop an AI enabled program to rapidly code interactions so clinicians can provide feedback aimed at improving parent-child interactions.
Read MoreDeveloping teaching approaches to support compassionate virtual care
Stella is creating materials for health professions teachers to support their ability to foster compassion and equity during virtual care teaching.
Read MoreEnhancing paediatric pain research and compassionate pain care through the integration of AI methods
Jennifer’s work focuses on enhancing youth engagement in digital pain self-management solutions.
Read MoreCreating an AI tool to predict survival of long-term care residents with Covid-19 infection
Martin is creating a machine-learning based mortality risk prediction tool for COVID-19 positive residents in all Ontario LTC homes.
Read MoreHow do we assess the effectiveness of teaching compassionate, person-centered care in medical faculties?
Although we’re starting to understand how to teach compassion, we still don’t know how to tell if medical students and physicians have learned this and if our teaching has been effective. The goal of this grant was to consider how to make such evaluations.
Read MoreAdvance care planning (ACP) for older adults with dementia
Linda designed her fellowship to help frontline healthcare workers improve timely, sensitive, person-centred advance care planning (ACP). In particular, she was interested in how to offer ACP to older adults with dementia and include their care partners.
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