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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.
Testimonials (1)
Understand AI function n tools to make our job easier. Need to improved AI Chubb such as make analysis n creating presentation