Engaging in deliberative dialogue to co-design a digital technology to facilitate serious illness conversations and advanced care planning with racialized populations in primary care
Serious illness conversations (SIC) are critical for empowering patients to make informed decisions, aligned with their values and goals. However, these conversations are distressing for patients and families, particularly those who experience discrimination. Racialized people are more likely to receive aggressive care and to die in an ICU, due to care delays, communication difficulties and…
Read MoreAutomating the evaluation of clinical large language models to support compassionate care
With their incredible conversational and reasoning capabilities, Large Language Models (LLMs) can alter the patient-provider relationship and the very nature of compassionate care. However, inaccurate LLM-generated answers and pseudo-empathy displays can affect patient safety and trust, leading to severe negative outcomes. Pedro’s research project focuses on co-designing LLMs-as-a-Judge (LLM-J), which evaluates answers from other LLMs…
Read MoreUsing digital models and visualization to help patients better understand prognosis and uncertainty
Radiation Oncologist, London Health Sciences Centre Understanding prognosis is important for treatment decisions, life planning, and psychological well-being in patients with metastatic disease. Physicians are increasingly using statistical and AI-based models for prognosis estimates, but these are inaccessible to patients. No models are designed specifically for patient use. How are patient interactions with prognosis models…
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