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Duration 8 hours
Course Outline
Module 1 – Foundations of Generative AI and Prompt Engineering
- Defining generative AI and exploring its operational mechanics
- Distinguishing between various AI models and available tools
- Core principles governing effective prompt engineering
- Designing and optimizing prompt structures for consistency and reliability
Module 2 – Practical Medical Applications
- Drafting clinical reports and professional opinions
- Utilizing prompt templates to standardize clinical documentation
- Clinical decision support systems
- Generating suggestions for differential diagnoses and accessing evidence-based guidelines
- Enhancing time efficiency
- Facilitating pre-consultation preparation and providing support during surgical procedures
- Improving patient communication
- Formulating clear, empathetic post-consultation instructions
- Supporting medical knowledge management
- Generating summaries of clinical guidelines, rapid reviews, and thematic data searches
- Streamlining administrative functions in medical practices
- Coordinating schedules, managing reminders, and enhancing internal communication
Module 3 – Best Practices and AI Limitations in Medicine
- Identifying common AI errors and strategies to mitigate them
- Validating and critically reviewing AI-generated information
- Integrating AI outputs with human clinical judgment
Module 4 – Ethics, Privacy, and Safe Implementation
- Examining the ethical implications of AI adoption in healthcare
- Ensuring compliance with data protection regulations (such as LGPD) and confidentiality protocols
- Upholding professional accountability in the use of AI tools
Course Summary and Future Pathways
Requirements
- Proficiency in fundamental medical terminology
- Prior exposure to clinical or administrative procedures within the healthcare sector
- Basic competency with digital tools and platforms
Target Audience
- Clinical and allied health professionals
- Medical researchers and academics
- Administrative personnel within medical facilities
