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 MoreModeling the future patient: assessing the desirability, utility and feasibility of digital twins in dementia care and research
Digital twins are an emerging AI technology with potential to support personalized dementia care, disease monitoring, and research by simulating health trajectories over time. However, little is known about how they should be used in practice. Laura’s project examines the perspectives of caregivers, healthcare providers, and clinical researchers to identify perceived benefits, concerns, and ethical…
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 MoreHelping patients understand blood cancer diagnoses with compassionate artificial intelligence
People being tested for blood cancers often receive several highly technical laboratory reports that can be confusing, overwhelming, and difficult to understand. Benjamin’s project will develop and evaluate an artificial intelligence (AI) tool that brings these reports together into clear, easy-to-understand summaries for both clinicians and patients. The tool is being designed with patients, clinicians,…
Read MoreUnderstanding tech-ready compassionate leadership and its relationship with AI use in healthcare
Artificial intelligence (AI) and digital technologies are changing healthcare, but we know little about how leaders can support implementation of these tools while maintaining compassion for patients, families, and staff. Laura’s project will study tech-ready compassionate leadership—the ability to lead digital and AI-enabled change while preserving human-centred care. Through a national survey of healthcare leaders,…
Read MoreLearning how AI-enabled sleep health navigation can support trust, compassion, and care delivery in homelessness shelters
Azadeh’s project was developed with people with lived experience of homelessness, shelter staff, and healthcare providers. Using a co-designed mobile tool that includes voice-based screening and AI-supported health navigation, her team will examine how AI affects trust, relationships, and access to care. Their goal is to generate practical guidance for using AI in ways that…
Read MoreEmpowering patients and caregivers in safer care transitions from hospital to home through the scaling of patient
Transitioning from hospital to home is challenging for patients, who manage medications, routines, and follow-up care. Discharge summaries are written for family doctors and are often difficult for patients to understand. Patient-oriented discharge summaries (PODS) provide clear, patient-friendly instructions but are not widely used because clinicians lack time to prepare them. Jeremy’s project uses generative…
Read MoreCo-designing a compassion playbook for AI-enabled primary care
Artificial intelligence is rapidly entering family doctors’ offices, helping with note-writing, decision-making, and patient communication. While these tools promise to ease workload pressures, they may also unintentionally change how patients feel heard, understood, and cared for. Umair’s project will bring together patients, families, and primary care teams to co-design a “Compassion Playbook” that guides clinics…
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