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 MoreDeveloping a compassionate online peer navigation program for youth with childhood onset disability
Sarah’s project will study online peer navigation as an avenue for the delivery of compassionate care for youth, with childhood onset disabilities, transitioning to the adult healthcare system and community services
Read MoreBringing compassion to a chatbot to help women manage heart disease
Monica’s project will provide opportunities to learn how to integrate attributes of compassion into conversations between a text based Chatbot named ‘Holly’ and women with heart disease
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 MoreEvaluating AI prediction tools in enhancing compassionate care in hospital
Amol is implementing and evaluating an AI prediction tool to understand if it enhances compassionate care by enabling clinicians to treat patients earlier and improve communication.
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 MoreCeLT: 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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