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Duration 8 hours
Course Outline
Module 1 – Foundations of Generative AI and Prompt Engineering
- The nature of generative AI and its operational mechanics
- Distinguishing between various AI models and utility tools
- Core principles guiding effective prompt engineering
- Structuring and optimizing prompts for reliable, consistent outputs
Module 2 – Applied Scenarios in Medicine
- Preparing medical reports and professional opinions
- Using prompt templates to standardize clinical documentation
- Enhancing clinical decision-making
- Generating differential diagnosis suggestions and accessing evidence-based guidelines
- Improving time management
- Assisting with pre-consultation prep and intra-operative support
- Enhancing patient interaction
- Formulating clear, empathetic post-visit instructions
- Supporting medical knowledge retrieval
- Summarizing clinical guidelines, conducting rapid reviews, and performing thematic searches
- Streamlining medical office administration
- Coordinating schedules, automated reminders, and internal communications
Module 3 – Best Practices and Constraints of AI in Medicine
- Identifying common errors and strategies to mitigate them
- Verifying and critiquing AI-generated data
- Integrating AI insights with human clinical judgment
Module 4 – Ethics, Privacy, and Responsible Usage
- Ethical considerations of AI adoption in healthcare
- Adhering to data protection laws (LGPD) and confidentiality standards
- Upholding professional responsibility in AI-assisted care
Recap and Future Directions
Requirements
- Foundational knowledge of medical terminology
- Familiarity with clinical or administrative healthcare processes
- Basic proficiency with digital technologies
Target Audience
- Clinical and healthcare practitioners
- Medical researchers and analysts
- Administrative personnel within medical facilities
