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Duration 8 hours
Course Outline
Module 1 – Essentials of Generative AI and Prompt Engineering
- Defining generative AI and understanding its operational mechanics
- Distinguishing between various AI models and tools
- Foundational principles of prompt engineering
- Structuring and optimizing prompts to achieve consistent results
Module 2 – Practical Applications in Medicine
- Drafting medical reports and professional opinions
- Using prompt templates to standardize clinical documentation
- Clinical decision support
- Generating suggestions for differential diagnoses and accessing evidence-based guidelines
- Efficiency and time management
- Preparing for consultations and providing support during surgical procedures
- Enhancing patient communication
- Developing clear, empathetic post-consultation instructions
- Medical knowledge assistance
- Summarizing clinical guidelines, conducting quick reviews, and performing thematic searches
- Administrative management for medical practices
- Managing 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 information generated by AI
- Integrating AI outputs with human clinical judgment
Module 4 – Ethics, Privacy, and Safe Usage
- Exploring the ethical implications of AI in healthcare
- Adhering to data protection regulations (LGPD) and confidentiality standards
- Understanding professional responsibilities when utilizing AI
Summary and Future Directions
Requirements
- A solid understanding of fundamental medical terminology
- Practical experience with clinical or administrative healthcare processes
- Basic proficiency with digital tools
Audience
- Healthcare professionals
- Medical researchers
- Administrative staff in medical environments
