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Duration 8 hours
Course Outline
Module 1 – Fundamentals of Generative AI and Prompt Engineering
- An overview of what generative AI is and its underlying mechanisms.
- Distinguishing between various AI models and available tools.
- Core principles behind effective prompt engineering.
- Structuring and optimising prompts to achieve consistent results.
Module 2 – Practical Applications in Medicine
- Drafting medical reports and professional opinions.
- Utilising prompt templates to standardise clinical documentation.
- Clinical decision support.
- Generating suggestions for differential diagnoses and referencing evidence-based guidelines.
- Optimising time management.
- Preparing for consultations and receiving support during surgical procedures.
- Enhancing patient communication.
- Creating clear, empathetic post-consultation instructions.
- Supporting medical knowledge retrieval.
- Generating summaries of clinical guidelines, quick reviews, and thematic searches.
- Managing administrative tasks for medical practices.
- Organising schedules, reminders, and internal communications.
Module 3 – Best Practices and Limitations of AI in Medicine
- Identifying common errors and strategies to avoid them.
- Validating and critically reviewing AI-generated information.
- Integrating AI outputs with human clinical judgment.
Module 4 – Ethics, Privacy, and Safe Usage
- Exploring the ethical implications of AI in healthcare.
- Ensuring compliance with data protection laws (LGPD) and confidentiality standards.
- Understanding professional responsibilities when using AI.
Summary and Next Steps
Requirements
- A solid understanding of fundamental medical terminology.
- Practical experience with clinical or administrative processes within the healthcare sector.
- Basic proficiency with digital tools and software.
Target Audience
- Healthcare professionals.
- Medical researchers.
- Administrative staff working in medical facilities.
