Integrating Artificial Intelligence-Based Simulation into Serious Illness Conversation Training: A Pilot Medical Student Intervention

BACKGROUND: Serious illness conversations (SICs) are an important part of medical care, yet trainees continue to express discomfort. Educational opportunities are time and resource-intensive. This pilot study's aim was to explore the experience of artificial intelligence (AI) technology deployed for SIC practice and feedback. METHODS: 2-Sigma, an AI-based simulation platform, was deployed as a tool for medical students to practice SICs utilizing skills taught through a dedicated Advance Care Planning (ACP) curriculum. Eleven medical students completed 27 cases and full transcripts were reviewed to describe (1) student interactions with AI, (2) AI responses, and (3) AI-provided feedback. RESULTS: Students interacted with AI utilizing skills taught in the ACP curriculum. AI responses displayed emotion, however, quickly resolved negative feelings. Feedback addressed important components of SICs but varied in its specificity. CONCLUSION: AI technology represents a potential tool for practicing skills necessary for SICs.