Consenting for CLinical AI in OntaRIo TodaY (CLAIRITY)
The goal of this research is to ensure that, as AI moves into clinical use in Ontario, the principles of ethical and compassionate clinical care are upheld. Study findings will provide the foundation for future validation of an AI enabled digital application for consent and to expand the framework to apply at a national level.…
Read MoreUnderstanding how people want their mental health data used in AI research
Daniel’s project looks at how artificial intelligence (AI) and health data can be used to improve mental healthcare in ways that respect people’s privacy, choices, and dignity. At the Centre for Addition and Mental Health (CAMH), researchers are exploring whether electronic health records could be included in the Brain Health Data Bank to support future…
Read MoreMoving from understanding to action: Integrating compassion into AI implementation in healthcare
Despite advancements in artificial intelligence (AI) tools, patient–provider relationships remain central to healthcare, with compassionate care at its core. However, AI research often lacks diverse perspectives, including those of clinicians and patients, and how compassionate healthcare can be achieved alongside the use of AI remains unclear. To fill this gap, Hwayeon’s project will operationalize compassion…
Read MoreFacilitating code status companion – using AI to support compassionate decision – making in end of life care
People deserve dignity and respect when making critical end-of-life decisions, like whether to receive cardiopulmonary resuscitation (CPR). However, hospital policies often require rushed conversations leading to decisions that do not reflect people’s true wishes. To address this, Kieran and his team will analyze CPR policies across Ontario hospitals and develop the artificial intelligence (AI)-based Code…
Read MoreLeveraging technology to foster self-compassion and community support for Canadian Muslim youth mental health
The mental health of Canadian Muslims has recently become a growing concern, with many facing unique challenges at the intersection of faith, culture, and modern life. Therefore, Ahmed’s study aims to evaluate a novel approach, a customized faith-sensitive mindfulness app, with state-of-the-art artificial intelligence, designed specifically for Muslim youth, as a tool to cope with…
Read MoreExploring forward-looking AI competencies in academic nursing education to enhance compassionate care
Compassionate care serves as the core and central focus of the patient experience and nursing practice. The ongoing emergence and integration of AI-enabled technology within healthcare environments is transforming healthcare provider practices, including nursing practice, which impacts the patient experience. At this time, opportunities remain within undergraduate nursing education to facilitate and support nursing students’…
Read MoreUsing digital care and communications platform in perioperative settings to improve Quadruple health outcomes: Analytics and artificial intelligence (AI) based Informed decisions, risks prediction, and wearable monitoring devices.
Assistant Professor, Western University When patients are discharged from the hospital after surgery, certain complications can result in emergency department visits and hospital readmissions. Surgical recovery after discharge from the hospital can also pose a challenge to patients and their caregivers. Continuity of care after discharge has been shown to reduce emergency department visits and…
Read MoreArtificial Intelligence and Human Rights Respecting Mental Healthcare: What Role for Law?
Acting Director, University of Ottawa Centre for Health Law, Policy, and Ethics Canada urgently needs better access to mental health services. Artificial intelligence (AI) has been embraced by some as a tool for addressing accessibility problems, e.g., AI-powered chatbots offer therapy, and AI algorithms harness social media data to detect suicidal ideation. While AI holds…
Read MoreDeveloping an AI-decision support tool for ED visits in oncology to augment compassion-centered care
Clinician Scientist, Sunnybrook Research Institute Many cancer patients access the emergency department (ED). However, 60% of ED visits are preventable with limited tools to stratify risk groups and personalize care plans. Ultimately, this would avoid anxiety and distress. Here, William proposes to develop an artificial intelligence (AI)-guided decision support tool to improve management and follow-up…
Read MoreRecognizing warnings in adults at risk of life-threatening diagnoses using AI
Researcher, Unity Health Toronto & Clinician Scientist, Sinai Health Delays, and often omissions, of life-threatening diagnoses are common, especially with hospitalized patients. To render the correct diagnosis, healthcare providers need sufficient uninterrupted time to review a patient’s medical record and speak with the patient directly, but the chaotic inpatient environment presents many challenges: interruptions, task-switching,…
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