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Duration 8 hours
Course Outline
Module 1 – Foundations of Generative AI and Prompt Engineering
- Definition of generative AI and its operational mechanics.
- Distinguishing between various AI models and tools.
- Core principles of prompt engineering.
- Designing and optimizing prompts for reliable results.
Module 2 – Real-World 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 accessing evidence-based guidelines.
- Time management optimization.
- Preparing for consultations and providing support during surgical procedures.
- Enhancing patient communication.
- Developing clear, patient-centric post-consultation instructions.
- Supporting medical knowledge management.
- Summarizing clinical guidelines, performing rapid reviews, and conducting thematic searches.
- Managing medical office administration.
- 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 critically reviewing AI-generated content.
- Integrating AI as a complement to human clinical judgment.
Module 4 – Ethics, Privacy, and Safe Usage
- Ethical considerations of AI in healthcare.
- Compliance with data protection regulations (LGPD) and confidentiality standards.
- Defining professional responsibilities regarding AI adoption.
Summary and Future Steps
Requirements
- Foundational knowledge of basic medical terminology.
- Practical experience with clinical or administrative workflows in healthcare.
- Basic proficiency with digital tools.
Target Audience
- Healthcare professionals.
- Medical researchers.
- Administrative staff working in medical settings.
Testimonials (1)
Comprehensiveness about the backround; how to do a prompt.
