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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 tools.
- Fundamental principles of prompt engineering.
- Structuring and optimizing prompts for reliable and consistent results.
Module 2 – Practical Medical Applications
- Drafting medical reports and professional opinions
- Using prompt templates to standardize clinical documentation.
- Enhancing clinical decision support
- Generating suggestions for differential diagnoses and reviewing evidence-based guidelines.
- Optimizing time management
- Preparing for consultations and supporting surgical procedures.
- Improving patient communication
- Creating clear, empathetic post-consultation instructions.
- Supporting medical knowledge acquisition
- Compiling summaries of clinical guidelines, conducting rapid reviews, and performing thematic searches.
- Streamlining administrative management for medical practices
- Organizing schedules, setting reminders, and facilitating internal communication.
Module 3 – Best Practices and AI Limitations in Medicine
- Identifying common errors and strategies to prevent them.
- Validating and critically reviewing AI-generated information.
- Integrating AI outputs with human clinical judgment.
Module 4 – Ethics, Privacy, and Responsible Use
- Navigating the ethical implications of AI in healthcare.
- Ensuring compliance with data protection regulations (LGPD) and confidentiality standards.
- Understanding professional responsibilities when using AI.
Conclusion and Path Forward
Requirements
- A solid understanding of fundamental medical terminology.
- Practical experience with clinical or administrative procedures in healthcare.
- Basic proficiency with digital tools.
Target Audience
- Healthcare practitioners.
- Medical researchers.
- Administrative personnel in medical environments.
Testimonials (1)
Comprehensiveness about the backround; how to do a prompt.
