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 Duration 14 hours

Course Outline

AI Foundations for Telemedicine

  • Essential AI concepts: LLMs, NLP, and generative AI.
  • Overview of ChatGPT, Claude, and the broader enterprise AI landscape.
  • Identifying AI opportunities throughout the telehealth lifecycle.

ChatGPT for Clinical and Administrative Workflows

  • Generating clinical documentation and SOAP notes.
  • Drafting patient communication and educational materials.
  • Automating administrative tasks and handling correspondence.

Claude AI for Document Analysis and Clinical Decision Support

  • Analyzing and summarizing multiple medical records.
  • Reviewing regulatory documents and ensuring compliance.
  • Providing clinical decision support and synthesizing literature.

AI-Driven Automation in Telehealth Operations

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

AI Agents for Autonomous Healthcare Workflows

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

Patient Communication and Engagement with AI

  • Deploying AI chatbots for patient triage and FAQ resolution.
  • Facilitating personalized patient outreach and medication adherence.
  • Enabling multilingual communication in telehealth contexts.

Enterprise AI Governance, Privacy, and Compliance

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

AI Adoption Roadmap and Hands-On Capstone

  • Formulating an AI adoption strategy for telehealth organizations.
  • Managing change in AI-enhanced clinical workflows.
  • Capstone project: designing a comprehensive AI workflow for a real-world telemedicine scenario.

Requirements

  • Basic proficiency with web browsers and online applications.
  • A general understanding of telemedicine or healthcare delivery workflows.
  • No prior experience in AI or programming is necessary.

Audience

  • Healthcare professionals engaged in telemedicine consultations and clinical processes.
  • Clinical operations staff overseeing telehealth platforms and patient coordination.
  • IT and technical personnel supporting telemedicine infrastructure and tools.
  • Administrative and leadership teams investigating AI adoption strategies.

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