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Duration 8 hours
Course Outline
Module 1 – Foundations of Generative AI and Prompt Engineering
- Defining generative AI and understanding its mechanics
- Distinguishing between various AI models and tools
- Core principles of effective prompt engineering
- Structuring and refining prompts for consistent results
Module 2 – Practical Applications in Medicine
- Drafting medical reports and professional opinions
- Using prompt templates to standardize clinical documentation
- Clinical decision support
- Generating suggestions for differential diagnoses and evidence-based guidelines
- Time optimization strategies
- Pre-consultation preparation and assistance during surgical procedures
- Enhancing patient communication
- Developing clear, empathetic post-consultation instructions
- Medical knowledge assistance
- Summarizing clinical guidelines, conducting quick reviews, and performing thematic searches
- Administrative management for medical practices
- Coordinating schedules, reminders, and internal communications
Module 3 – Best Practices and Limitations of AI in Medicine
- Identifying common errors and strategies to prevent them
- Validating and reviewing AI-generated information
- Integrating AI outputs with human clinical judgment
Module 4 – Ethics, Privacy, and Safe Usage
- Ethical considerations of AI in healthcare
- Adhering to data protection laws (such as PDPA) and confidentiality standards
- Professional responsibilities in utilizing AI
Summary and Future Directions
Requirements
- A solid grasp of fundamental medical terminology
- Prior exposure to clinical or administrative workflows in healthcare
- Basic proficiency with digital tools
Target Audience
- Clinical healthcare professionals
- Medical researchers
- Administrative personnel in medical environments
