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Duration 8 hours
Course Outline
Module 1 – Core Concepts of Generative AI and Prompt Engineering
- Definition and operational mechanics of generative AI
- Distinctions between various AI models and tools
- Foundational principles of prompt engineering
- Designing and optimizing prompts for consistent performance
Module 2 – Practical Medical Applications
- Drafting medical reports and professional opinions
- Using prompt templates to standardize clinical documentation
- Clinical decision support systems
- Generating differential diagnoses and evidence-based guideline suggestions
- Optimizing time management
- Preparing for consultations and providing support during surgical procedures
- Enhancing patient communication
- Creating clear, empathetic post-consultation instructions
- Supporting medical knowledge management
- Summarizing clinical guidelines, conducting quick reviews, and thematic searches
- Managing administrative tasks in medical offices
- Organizing schedules, reminders, and internal communications
Module 3 – Best Practices and AI Limitations in Medicine
- Identifying common errors and strategies to avoid them
- Validating and critically reviewing AI-generated data
- Integrating AI with human clinical judgment
Module 4 – Ethics, Privacy, and Safe Implementation
- Ethical considerations of AI in healthcare settings
- Compliance with data protection regulations (such as LGPD) and confidentiality standards
- Professional accountability in the use of AI tools
Summary and Future Directions
Requirements
- Familiarity with fundamental medical terminology
- Prior experience with healthcare clinical or administrative procedures
- Basic proficiency with digital tools
Target Audience
- Healthcare practitioners
- Medical researchers
- Administrative personnel in medical facilities
