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Duration 8 hours
Course Outline
Module 1 – Core Concepts of Generative AI and Prompt Engineering
- Defining generative AI and understanding its underlying mechanisms
- Distinguishing between various AI models and available tools
- Foundational principles of prompt engineering
- Crafting and optimizing prompt structures for consistent performance
Module 2 – Practical Medical Applications
- Drafting medical reports and professional opinions
- Utilizing prompt templates to standardize clinical documentation
- Enhancing clinical decision support
- Generating suggestions for differential diagnoses and accessing evidence-based guidelines
- Optimizing time management
- Supporting pre-consultation preparation and assisting during surgical procedures
- Improving patient communication
- Formulating clear and empathetic post-consultation instructions
- Accessing medical knowledge support
- Generating summaries of clinical guidelines, rapid reviews, and thematic research
- Simplifying administrative management for medical offices
- Coordinating schedules, patient reminders, and internal communications
Module 3 – Best Practices and Limitations of AI in Medicine
- Identifying common errors and strategies for prevention
- Validating and reviewing AI-generated insights
- Aligning AI outputs with human clinical judgment
Module 4 – Ethics, Privacy, and Responsible Use
- Navigating the ethical implications of AI in healthcare
- Adhering to data protection regulations (such as LGPD) and confidentiality protocols
- Understanding professional responsibilities in AI integration
Summary and Future Directions
Requirements
- Familiarity with fundamental medical terminology.
- Practical experience with clinical or administrative procedures in a healthcare setting.
- Basic proficiency with digital tools and software.
Target Audience
- Healthcare practitioners.
- Medical researchers.
- Administrative personnel within medical facilities.
