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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 operational mechanisms
- Distinguishing between various AI models and available tools
- Foundational principles of effective prompt engineering
- Designing and optimizing prompts to ensure consistent performance
Module 2 – Practical Medical Applications
- Creating medical reports and clinical opinions
- Utilizing prompt templates to standardize clinical documentation
- Enhancing clinical decision support
- Generating suggestions for differential diagnoses and referencing evidence-based guidelines
- Maximizing time efficiency
- Preparing for consultations and providing support during surgical procedures
- Improving patient communication
- Developing clear, empathetic post-consultation instructions
- Supporting medical knowledge management
- Summarizing clinical guidelines, conducting quick reviews, and performing thematic searches
- Streamlining administrative tasks for medical offices
- Managing schedules, reminders, and internal communications
Module 3 – Best Practices and AI Limitations in Medicine
- Identifying common errors and strategies to prevent them
- Validating and critically reviewing AI-generated information
- Ensuring AI complements, rather than replaces, human clinical judgment
Module 4 – Ethics, Privacy, and Secure Usage
- Navigating the ethical implications of AI in healthcare
- Adhering to data protection regulations (such as LGPD) and confidentiality protocols
- Upholding professional responsibility in the use of AI tools
Concluding Summary and Recommended Next Steps
Requirements
- Familiarity with fundamental medical terminology
- Prior exposure to clinical or administrative workflows within the healthcare sector
- Basic proficiency with digital platforms and tools
Target Audience
- Healthcare practitioners
- Medical researchers
- Administrative personnel in medical facilities
