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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

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