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Course Outline
AI Foundations for Telemedicine
- Core AI concepts: LLMs, NLP, and generative AI
- ChatGPT, Claude, and the enterprise AI landscape
- AI opportunities across the telehealth lifecycle
ChatGPT for Clinical and Administrative Workflows
- Clinical documentation and SOAP note generation
- Patient communication and education material drafting
- Administrative task automation and correspondence
Claude AI for Document Analysis and Clinical Decision Support
- Multi-document medical record analysis and summarization
- Regulatory document review and compliance checking
- Clinical decision support and literature synthesis
AI-Powered Automation in Telehealth Operations
- Automating patient intake, triage, and pre-consultation workflows
- Intelligent scheduling, reminders, and follow-up management
- Clinical report generation and billing workflow assistance
AI Agents for Autonomous Healthcare Workflows
- AI agent architectures: tools, memory, and planning
- Autonomous patient monitoring and follow-up agents
- Multi-agent orchestration for care coordination
Patient Communication and Engagement with AI
- AI chatbots for patient triage and FAQs
- Personalized patient outreach and medication adherence
- Multilingual communication in telehealth settings
Enterprise AI Governance, Privacy, and Compliance
- Data privacy regulations and HIPAA compliance
- AI ethics, bias mitigation, and responsible use
- Vendor evaluation: security, validation, and integration criteria
AI Adoption Roadmap and Hands-On Capstone
- Building an AI adoption strategy for telehealth organizations
- Change management for AI-augmented clinical workflows
- Capstone: designing an end-to-end AI workflow for a real telemedicine scenario
Requirements
- Basic familiarity with using a web browser and online applications
- General understanding of telemedicine or healthcare delivery workflows
- No prior AI or programming experience required
Audience
- Healthcare professionals involved in telemedicine consultations and clinical workflows
- Clinical operations staff managing telehealth platforms and patient coordination
- IT and technical staff supporting telemedicine infrastructure and tools
- Administrative and leadership teams exploring AI adoption strategies
14 Hours
Testimonials (1)
Understand AI function n tools to make our job easier. Need to improved AI Chubb such as make analysis n creating presentation