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Duration 8 hours
Course Outline
Module 1 – Foundations of Generative AI and Prompt Engineering
- Defining generative AI and its underlying mechanisms
- Distinguishing between various AI models and utility tools
- Core principles of effective prompt engineering
- Structuring and refining prompts for consistent, high-quality results
Module 2 – Practical Medical Applications
- Generating medical reports and professional opinions
- Using prompt templates to standardize clinical documentation
- Enhancing clinical decision support
- Providing differential diagnoses and referencing evidence-based guidelines
- Improving time efficiency
- Assisting with pre-consultation preparation and intra-surgical support
- Improving patient communication
- Developing clear, empathetic post-consultation instructions
- Supporting medical knowledge retrieval
- Generating summaries of clinical guidelines, rapid reviews, and thematic searches
- Streamlining administrative management in medical practices
- Coordinating schedules, managing reminders, and facilitating internal communication
Module 3 – Best Practices and AI Limitations in Medicine
- Identifying common errors and strategies to mitigate them
- Methods for validating and reviewing AI-generated information
- Integrating AI outputs with human clinical judgment
Module 4 – Ethics, Privacy, and Safe Usage
- Ethical considerations of AI deployment in healthcare
- Adhering to data protection regulations (e.g., LGPD) and confidentiality standards
- Understanding professional responsibilities when utilizing AI tools
Conclusion and Future Steps
Requirements
- Proficiency in standard medical terminology
- Practical experience with clinical or administrative procedures in the healthcare sector
- Familiarity with basic digital platforms and tools
Intended Audience
- Clinical healthcare practitioners
- Medical researchers and analysts
- Administrative personnel in medical facilities
