Chatbot: Empowering Medical Communication using AI
KGC 2025
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42m
Ying Ding, School of Information, University of Texas at Austin, Professor
Conventional medical communication has been fundamentally broken, placing an increasing burden on healthcare professionals and significantly contributing to burnout and inefficiency. Physicians, nurses, and administrative staff face overwhelming demands, fragmented workflows, and ineffective communication channels, which detract from patient care. A major breakthrough is imminent with the emergence of intelligent chatbots powered by Large Language Models (LLMs). This talk will highlight several perspectives on how LLM powered chatbots revolutionize healthcare communication: 1) a voice powered chatbot for reminiscence therapy for early dementia patients; 2) a medical research assistant to provide query-focused medical information summary; and 3) a medical transcript assistant to identify care gaps using inductive thematic analysis.
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