Automating 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…

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Engaging people in compassionate care through patient portals and artificial intelligence

Patient portals provide access to critical health information such as test results, but sometimes it is presented in complex medical language. Artificial Intelligence (AI) holds potential to deliver this information more compassionately and in patient-friendly language. In Shelley’s study, patients and doctors will be interviewed to explore patient portal experiences and participate in focus groups…

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