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Duration 8 hours
Course Outline
Module 1 – Core Concepts of Generative AI and Prompt Engineering
- The nature and mechanics of generative AI
- Distinguishing between various AI models and tools
- The underlying principles of prompt engineering
- Designing and optimizing prompts for reliable results
Module 2 – Practical Applications in Medicine
- Composing medical reports and professional opinions
- Using prompt templates to standardize clinical records
- Clinical decision support systems
- Generating suggestions for differential diagnoses and referencing evidence-based guidelines
- Maximizing time efficiency
- Preparing for consultations and supporting surgical procedures
- Enhancing patient communication
- Formulating clear, empathetic post-consultation instructions
- Supporting medical knowledge retrieval
- Summarizing clinical guidelines, conducting rapid reviews, and executing thematic searches
- Streamlining administrative operations in 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
- Verifying and reviewing AI-generated information
- Integrating AI with human clinical judgment
Module 4 – Ethics, Privacy, and Secure Usage
- The ethical dimensions of AI in healthcare
- Adhering to data protection regulations (LGPD) and confidentiality standards
- Upholding professional responsibility when using AI
Summary and Future Steps
Requirements
- A solid grasp of fundamental medical terminology
- Familiarity with clinical or administrative workflows within the healthcare sector
- Basic competence in using digital tools
Target Audience
- Healthcare practitioners
- Medical researchers
- Administrative personnel operating in medical facilities
