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Duration 8 hours
Course Outline
Module 1 – The Basics of Generative AI and Prompt Engineering
- Defining generative AI and explaining its operational mechanics
- Distinguishing between various AI models and tools
- Exploring the key principles of prompt engineering
- Designing and optimizing prompts to ensure consistent results
Module 2 – Practical Medical Applications
- Drafting medical reports and professional opinions
- Using prompt templates to standardize clinical documentation
- Enhancing clinical decision support
- Generating suggestions for differential diagnoses and referencing evidence-based guidelines
- Improving time management
- Facilitating pre-consultation preparation and providing support during surgical procedures
- Strengthening patient communication
- Crafting clear and empathetic post-consultation instructions
- Supporting medical knowledge acquisition
- Summarizing clinical guidelines, conducting rapid reviews, and performing thematic searches
- Streamlining administrative management in medical offices
- Organizing schedules, automated reminders, and internal communications
Module 3 – Best Practices and AI Limitations in Medicine
- Identifying common errors and strategies to prevent them
- Validating and reviewing AI-generated information
- Ensuring complementarity with human clinical judgment
Module 4 – Ethics, Privacy, and Responsible Use
- Examining the ethical implications of AI in healthcare
- Adhering to data protection regulations (LGPD) and confidentiality standards
- Understanding professional responsibilities in AI utilization
Summary and Future Directions
Requirements
- A foundational understanding of basic medical terminology
- Practical experience with clinical or administrative workflows in healthcare
- Basic proficiency with digital tools
Target Audience
- Healthcare practitioners
- Medical researchers
- Administrative personnel in medical facilities
