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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 between various AI models and available tools.
  • Foundational principles of effective prompt engineering.
  • Techniques for structuring and optimizing prompts to ensure consistency.

Module 2 – Practical Medical Applications

  • Drafting medical reports and professional opinions.
    • Utilizing prompt templates to standardize clinical documentation.
  • Clinical decision support systems.
    • Generating suggestions for differential diagnoses and referencing evidence-based guidelines.
  • Optimizing time management.
    • Assisting with pre-consultation preparation and support during surgical procedures.
  • Enhancing patient communication.
    • Developing clear, empathetic post-consultation instructions for patients.
  • Supporting medical knowledge retrieval.
    • Providing summaries of clinical guidelines, rapid reviews, and thematic research searches.
  • Streamlining administrative management for medical practices.
    • Organizing schedules, automated reminders, and internal communications.

Module 3 – Best Practices and Limitations of AI in Medicine

  • Identifying common AI errors and strategies to mitigate them.
  • Methods for validating and critically reviewing AI-generated information.
  • Integrating AI tools alongside 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 the LGPD, and confidentiality standards.
  • Understanding professional responsibilities when utilizing AI.

Conclusion and Path Forward

Requirements

  • Familiarity with fundamental medical terminology.
  • Practical experience with clinical or administrative workflows in healthcare.
  • Basic competency with digital tools and platforms.

Target Audience

  • Healthcare practitioners and clinicians.
  • Medical researchers and analysts.
  • Administrative personnel working in medical facilities.

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