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Course Outline
Module 1 – Fundamentals of Generative AI and Prompt Engineering
- What generative AI is and how it works
- Differences between AI models and tools
- Principles of prompt engineering
- Structure and optimization of prompts for consistent results
Module 2 – Practical Applications for Medicine
- Drafting medical reports and opinions
- Prompt templates to standardize clinical documentation
- Clinical decision support
- Suggestions for differential diagnoses and evidence-based guidelines
- Time optimization
- Pre-consultation preparation and support during surgical procedures
- Patient communication
- Creating clear, humanized post-consultation instructions
- Medical knowledge support
- Summaries of clinical guidelines, quick reviews, and thematic searches
- Administrative management for medical offices
- Organizing schedules, reminders, and internal communication
Module 3 – Best Practices and Limitations of AI in Medicine
- Common errors and how to avoid them
- Validating and reviewing AI-generated information
- Complementarity with human clinical judgment
Module 4 – Ethics, Privacy, and Safe Use
- Ethical implications of AI in healthcare
- Compliance with data protection laws (LGPD) and confidentiality rules
- Professional responsibility in AI use
Summary and Next Steps
Requirements
- An understanding of basic medical terminology
- Experience with clinical or administrative processes in healthcare
- Basic familiarity with digital tools
Audience
- Healthcare professionals
- Medical researchers
- Administrative staff in medical settings
8 Hours
Testimonials (1)
Very well adjusted
