Developing tools that enable implementation of compassionate digital health

Carolyn’s project will advance meaningful adoption of digital health services and tools to enable the delivery of high-quality, equitable, and compassionate person-centred integrated care. Her project builds on work done as part of a Canadian Institute for Health Research funded catalyst grant that funded the development of an initial set of value-based prompts designed to…

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Supporting migrants and refugees with compassionate care: A study to develop and test digitally enabled care by community organizations (e-COMPASS)

Ibukun’s previous study found that virtual care can allow migrants and asylum seekers access to healthcare conveniently. Many providers that serve this population have similar migration and cultural experiences as their patients. This increases their ability to deliver compassionate care but is emotionally challenging and can worsen burnout. Her study will co-design and test an…

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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…

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CeLT: Compassion in e-Learning and Teaching

The CeLT project investigated the experiences of learners and teachers and developed approaches to caring that can be fostered and taught in and around the use of e-health technologies. Clinicians learn through experience how to navigate the patient clinical encounter with a computer screen present. Observation of clinicians suggests that some are highly successful in…

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