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 Duration 8 hours

Course Outline

Module 1 – Core Concepts of Generative AI and Prompt Engineering

  • Definition of generative AI and its operational mechanics
  • Distinguishing features of various AI models and tools
  • Fundamental principles of prompt engineering
  • Structuring and refining prompts for consistent outcomes

Module 2 – Practical Medical Applications

  • Drafting medical reports and expert opinions
    • Utilizing prompt templates to standardize clinical documentation
  • Clinical decision support
    • Generating suggestions for differential diagnoses and referencing evidence-based guidelines
  • Efficiency enhancement
    • Preparing for consultations and providing support during surgical procedures
  • Patient interaction
    • Developing clear, empathetic post-consultation instructions
  • Medical knowledge assistance
    • Providing summaries of clinical guidelines, rapid reviews, and thematic information retrieval
  • Administrative oversight for medical practices
    • 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 critically assessing AI-generated information
  • Integrating AI with human clinical judgment

Module 4 – Ethics, Privacy, and Secure Usage

  • Ethical considerations of AI in healthcare
  • Adhering to data protection regulations (LGPD) and confidentiality standards
  • Professional accountability in the use of AI

Conclusion and Future Directions

Requirements

  • Familiarity with fundamental medical terminology.
  • Practical experience in clinical or administrative healthcare processes.
  • Basic proficiency with digital tools.

Target Audience

  • Healthcare practitioners.
  • Medical researchers.
  • Administrative personnel in medical environments.

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