Designing compassionate AI for use in dementia care

Many technologies are being developed for long-term care settings to improve safety and quality of care, such as behavioural health monitoring technologies to support the assessment of responsive behaviours in dementia. We need to make sure that these technologies are designed in a way that promotes compassionate care of people with dementia and avoids stigma.…

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Developing a digital communication tool to support compassionate care in long-term care homes

Lisa aims to develop a digital communication tool (mobile app) to support and optimize compassionate, person-centered care for older adults (residents) in long-term care homes. The digital communication tool builds on previous research that tested a paper copy of the tool to support resident and family caregivers in collaborative care planning. A digital communication tool…

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Building compassion in digital nursing mentorship

Transition from studentship to clinical practice for nurses is a challenging time. At Trillium Health Partners (THP), one in five nurses are new to practice, and there are not enough experienced nurses to offer one-to-one mentorship support. THP nurse leaders have leveraged technology to develop iMentor, a digital mentorship application to connect new and experienced…

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Enhancing compassion in technology-enabled care: Training and guidance for practitioners supporting autistic children and youth

Tech-supported therapeutic tools and AI solutions are actively being created with aims of enhancing services, independence and overall well-being for autistic children and youth, often without careful consideration of if the solutions attend to the heterogeneous nature of autism, or align with autistic preferences and needs. To maximize benefits and minimize potential harms (e.g. overgeneralization,…

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Developing Ethical AI for compassionate delivery of precision medicine

Precision medicine promises to transform health care. However, low accrual to precision medicine trials and barriers to patient decision-making threaten innovation. Machine learning for matching patients’ genomic information with preclinical datasets and trial eligibility criteria can increase trial accessibility, while conversational AI can provide empathetic, accessible, and tailored information to support patient autonomy for informed…

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