Automating pre-procedure fasting instruction
Aaron’s team will improve the patient experience for the large number of people undergoing medical and surgical procedures by using digital technology to set up a real-time instruction system about when to stop eating and drinking pre-procedure
Read MoreDeveloping strategies to make virtual emergency care more accessible for people from under-served communities
Sander’s team will interview people from under-served communities receiving urgent care at Sunnybrook’s virtual emergency department to develop strategies for implementing culturally sensitive and compassionate virtual care
Read MoreExploring how individuals with limb loss perceive and experience compassionate care in virtual rehabilitation
Crystal’s research will increase her team’s knowledge of how to improve compassionate care within a digital environment by exploring patients’ perceptions and experiences of virtual rehabilitation consultations for people with limb loss
Read MoreUsing A.I. to develop a personalized decision tool for managing vasomotor symptoms in breast cancer patients
Sharon’s research will use machine learning to individualize and improve the effectiveness of treatment for hot flashes and night sweats for breast cancer patients.
Read MoreCreating a compassionate community of digital health care for older adults and their caregivers
Melissa’s project brings together older adults and health and social-care providers to understand how to use a digital health tool for better and more compassionate care.
Read MoreUsing a tech-based meditation program to reduce depression and anxiety in the inpatient stroke rehabilitation setting
Amanda’s project will explore the impact of a technology-based meditation program on reducing the symptoms of depression and anxiety and improving quality of life
Read MoreUsing smart home technology to understand the desires of informal carers of persons with dementia living in the community
Lisa’s study will interview 15 carers to determine how smart home technology might address behavioural and safety concerns of their loved ones.
Read MoreOptimizing interactions between humans and artificial intelligence when administering remote cognitive assessments
Minnie’s team is collaborating with people with disabilities to pilot remote assessments to evaluate how the design of human-computer-environment interactions can be optimized for compassionate care.
Read MoreEvaluating implicit bias with contemporary electronic medical records
Alexandre’s study will investigate the influence of lower socioeconomic status on appropriateness and timeliness of medical interventions, capitalizing on improvements in accuracy and completeness of data capture with electronic medical record implementation.
Read MoreEvaluating digital interventions to reduce distress among health care providers
Venkat will evaluate a novel mobile platform to understand burnout among frontline healthcare workers during and after COVID-19 using personalized and automated AI-driven mobile interventions
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