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Duration 8 hours
Course Outline
Module 1 – Fundamentals of Generative AI and Prompt Engineering
- Defining generative AI and understanding its operational mechanisms
- Distinguishing between various AI models and tools
- Core principles underpinning prompt engineering
- Crafting and optimizing prompts to yield consistent results
Module 2 – Practical Applications for Medicine
- Preparing medical reports and professional opinions
- Utilizing prompt templates to standardize clinical documentation
- Clinical decision support
- Generating suggestions for differential diagnoses and referencing evidence-based guidelines
- Enhancing time efficiency
- Facilitating pre-consultation preparation and supporting surgical procedures
- Improving patient communication
- Developing clear, empathetic post-consultation instructions
- Supporting medical knowledge management
- Generating summaries of clinical guidelines, conducting quick reviews, and performing thematic searches
- Administrative management for medical practices
- Streamlining schedules, reminders, and internal communications
Module 3 – Best Practices and Limitations of AI in Medicine
- Identifying common errors and strategies to mitigate them
- Validating and critically reviewing AI-generated information
- Integrating AI with human clinical judgment
Module 4 – Ethics, Privacy, and Safe Use
- Examining the ethical implications of AI in healthcare
- Adhering to data protection laws (such as LGPD) and confidentiality standards
- Understanding professional responsibilities regarding AI deployment
Summary and Next Steps
Requirements
- Familiarity with foundational medical terminology
- Practical experience in clinical or healthcare administrative processes
- Basic competence with digital tools
Audience
- Healthcare practitioners
- Medical researchers
- Administrative personnel in medical facilities
