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Duration 8 hours
Course Outline
Module 1 – Core Principles of Generative AI and Prompt Engineering
- The definition of generative AI and its operational mechanics
- Distinguishing between different types of AI models and tools
- Key principles underlying effective prompt engineering
- Designing and refining prompts to ensure consistent results
Module 2 – Practical Applications in Medicine
- Creating medical reports and clinical opinions
- Using prompt templates to standardize clinical documentation
- Enhancing clinical decision support
- Generating suggestions for differential diagnoses and evidence-based guidelines
- Improving time management
- Pre-consultation preparation and support during surgical procedures
- Improving patient communication
- Drafting clear, empathetic post-consultation instructions
- Accessing medical knowledge resources
- Summarizing clinical guidelines, conducting quick reviews, and performing thematic searches
- Streamlining administrative tasks for medical offices
- Managing schedules, setting reminders, and facilitating internal communication
Module 3 – Best Practices and Limitations of AI in Medicine
- Identifying common errors and strategies to prevent them
- Verifying and critically reviewing AI-generated information
- Complementing human clinical judgment with AI assistance
Module 4 – Ethics, Privacy, and Safe Deployment
- The ethical implications of adopting AI in healthcare
- Adhering to data protection laws (LGPD) and confidentiality standards
- Understanding professional responsibilities regarding AI usage
Wrap-Up and Future Steps
Requirements
- Familiarity with fundamental medical terminology.
- Prior experience with clinical or administrative operations within healthcare settings.
- Basic proficiency with digital productivity tools.
Target Audience
- Healthcare practitioners.
- Medical researchers.
- Administrative personnel working in medical facilities.
