ゼロからわかるChatGPT — Practical AI Adoption for Healthcare Teams

Overview

Invited lecture at Yokawa Hospital (医療法人社団 敬命会 吉川病院) in Miki, Hyogo, for approximately 60–70 staff members. Systematically covered the full scope of AI adoption for healthcare organizations: from LLM fundamentals and prompt engineering to department-level workflow integration, organizational deployment via Custom GPTs, and information security policy design. Delivered in Japanese.

Topics

• LLM operating principles and output characteristics (hallucination, context window constraints)
• Prompt engineering: role assignment, output format specification, structured constraints
• Department-level workflow integration: administration (automated minutes formatting, email drafting, internal notice generation), nursing/clinical (simplifying patient IC materials, English literature summarization, conference abstract structuring), education/planning (training material creation, multilingual support)
• Live demo: multi-tone generation of meeting minutes and internal announcements
• Mapping AI application points across the full operational workflow (phased adoption approach)
• Context management and knowledge base construction via Projects
• Quality standardization across the organization through Custom GPTs design and distribution
• Information security: personal/sensitive data handling policies, data control settings, output approval workflows

Q&A

Also discussed application of other AI tools including CLOVA Note in healthcare settings.