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Agentic Architectures to Create Realistic Conversations - Using GenAI to Teach Empathy in Healthcare

Databricks via YouTube

Overview

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Explore how generative AI and multi-agent architectures can revolutionize empathy training for healthcare providers through realistic patient simulations. Learn about the critical challenge of scaling continuing education for medical professionals who typically receive minimal instruction on handling emotionally charged end-of-life interactions with patients. Discover the innovative solution of creating a custom chatbot system that simultaneously plays the role of both patient and coach, providing scalable learning experiences without requiring professional patients and instructors. Understand the technical challenges involved in overcoming the persistently cheerful and helpful tone that results from standard AI pretraining when creating realistic patient personas. Examine the multi-agent architecture implementation based on a graphical model of conversation flow, where system prompts reflecting the patient's cognitive state are dynamically updated as conversations progress. Gain insights into future extensions planned for this work, including custom model fine-tuning using the Mosaic AI platform to further enhance conversation realism and improve the overall training experience for healthcare professionals.

Syllabus

Agentic Architectures to Create Realistic Conversations: Using GenAI to Teach Empathy in Healthcare

Taught by

Databricks

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