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Duration 8 hours
Course Outline
Module 1 – Foundations of Generative AI and Prompt Engineering
- The nature of generative AI and its operational mechanics
- Distinguishing between various AI models and tools
- Core principles of prompt engineering
- Structuring and optimizing prompts for consistent performance
Module 2 – Practical Applications in Medicine
- Drafting medical reports and expert opinions
- Using prompt templates to standardize clinical documentation
- Enhancing clinical decision support
- Generating suggestions for differential diagnoses and evidence-based guidelines
- Optimizing time management
- Facilitating pre-consultation preparation and supporting surgical procedures
- Improving patient communication
- Crafting clear, empathetic post-consultation instructions
- Supporting medical knowledge access
- Generating summaries of clinical guidelines, quick reviews, and thematic searches
- Streamlining administrative management for medical practices
- Organizing schedules, reminders, and internal communications
Module 3 – Best Practices and Limitations of AI in Medicine
- Identifying common errors and strategies to avoid them
- Validating and reviewing AI-generated information
- Leveraging AI as a complement to human clinical judgment
Module 4 – Ethics, Privacy, and Safe Usage
- Ethical implications of AI integration in healthcare
- Ensuring compliance with data protection laws (LGPD) and confidentiality standards
- Understanding professional responsibility in AI utilization
Summary and Next Steps
Requirements
- A solid understanding of basic medical terminology
- Prior experience with clinical or administrative processes within the healthcare sector
- Basic proficiency with digital tools
Target Audience
- Healthcare practitioners
- Medical researchers
- Administrative personnel in medical facilities
