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Course Outline

Foundations of AI in Telemedicine

  • Essential AI concepts: LLMs, NLP, and generative AI
  • Overview of ChatGPT, Claude, and the broader enterprise AI ecosystem
  • Identifying AI opportunities throughout the telehealth patient journey

Utilizing ChatGPT for Clinical and Administrative Processes

  • Generating clinical documentation and SOAP notes
  • Drafting patient communication and educational materials
  • Streamlining administrative tasks and correspondence

Leveraging Claude AI for Document Analysis and Clinical Support

  • Analyzing and summarizing multi-document medical records
  • Reviewing regulatory documents and ensuring compliance
  • Providing clinical decision support and synthesizing medical literature

AI-Driven Automation in Telehealth Operations

  • Automating patient intake, triage, and pre-consultation procedures
  • Managing intelligent scheduling, reminders, and follow-ups
  • Assisting with clinical report generation and billing workflows

AI Agents for Autonomous Healthcare Tasks

  • Understanding AI agent architecture: tools, memory, and planning
  • Deploying autonomous agents for patient monitoring and follow-up
  • Orchestrating multi-agent systems for care coordination

Enhancing Patient Communication and Engagement with AI

  • Implementing AI chatbots for patient triage and common inquiries
  • Personalizing patient outreach and supporting medication adherence
  • Facilitating multilingual communication in telehealth contexts

Enterprise AI Governance, Privacy, and Compliance

  • Navigating data privacy regulations and HIPAA compliance
  • Addressing AI ethics, bias reduction, and responsible usage
  • Evaluating vendors based on security, validation, and integration standards

AI Adoption Roadmap and Practical Capstone

  • Developing an AI adoption strategy for telehealth organizations
  • Managing change in AI-enhanced clinical workflows
  • Capstone project: Designing a complete AI workflow for a real-world telemedicine scenario

Requirements

  • General proficiency with web browsers and online applications
  • A fundamental understanding of telemedicine or healthcare delivery processes
  • No previous experience in AI or programming is necessary

Target Audience

  • Healthcare professionals engaged in telemedicine consultations and clinical operations
  • Clinical operations personnel overseeing telehealth platforms and patient coordination
  • IT and technical teams maintaining telemedicine infrastructure and tools
  • Management and leadership teams investigating AI implementation strategies
 14 Hours

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