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Course Outline
Introduction to Prompt Engineering in Healthcare
- Understanding AI-driven prompt engineering
- Applications of AI in healthcare and life sciences
- Overview of AI tools and APIs for medical applications
AI for Medical Documentation and Clinical Workflows
- Generating structured clinical notes with AI
- Optimizing prompts for patient history summarization
- Using AI for transcription and automated medical reports
Enhancing Patient Interactions with AI
- Developing AI chatbots for patient support
- Automating responses for healthcare FAQs
- Personalizing patient engagement with AI-driven prompts
AI-Assisted Medical Research and Literature Review
- Extracting key insights from medical papers
- Automating literature searches with AI prompts
- Summarizing and comparing research findings using AI
Prompt Engineering for Drug Discovery and Development
- Using AI to analyze molecular structures and drug interactions
- Optimizing prompts for predictive modeling in drug research
- Enhancing clinical trial data analysis with AI
AI in Clinical Decision Support
- Developing AI-generated diagnostic recommendations
- Using AI for personalized treatment plans
- Ensuring accuracy and reliability in AI-assisted decision-making
Regulatory and Ethical Considerations in AI-Driven Healthcare
- Ensuring compliance with HIPAA, GDPR, and other regulations
- Addressing AI bias and ethical concerns in medical applications
- Best practices for responsible AI usage in healthcare
Hands-On Labs and Case Studies
- Building AI-powered medical chatbots
- Using AI prompts for real-time clinical documentation
- Applying AI-driven insights for drug research
Summary and Next Steps
Requirements
- Basic understanding of healthcare or life sciences
- Experience with data analysis or AI tools
- Familiarity with medical documentation and clinical workflows (recommended)
Audience
- Healthcare professionals
- Medical researchers
- AI developers in healthcare
14 Hours