Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
AI Fundamentals for Telemedicine
- Core AI concepts: Large Language Models (LLMs), NLP, and generative AI.
- The role of ChatGPT, Claude, and the broader enterprise AI ecosystem.
- AI opportunities throughout the telehealth patient journey.
ChatGPT for Clinical and Administrative Processes
- Generating clinical documentation and SOAP notes.
- Drafting patient communications and educational materials.
- Automating administrative tasks and correspondence.
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 architectures: tools, memory, and planning mechanisms.
- Deploying autonomous agents for patient monitoring and follow-up.
- Orchestrating multi-agent systems for effective care coordination.
Enhancing Patient Communication and Engagement with AI
- Implementing AI chatbots for patient triage and common inquiries.
- Personalizing patient outreach and improving medication adherence.
- Facilitating multilingual communication in telehealth contexts.
Enterprise AI Governance, Privacy, and Compliance
- Navigating data privacy regulations and HIPAA compliance standards.
- Addressing AI ethics, bias mitigation, and responsible usage.
- Evaluating vendors based on security, validation, and integration criteria.
AI Adoption Roadmap and Practical Capstone
- Formulating an AI adoption strategy for telehealth organizations.
- Managing change in AI-augmented clinical workflows.
- Capstone Project: Designing an end-to-end 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 required.
Target 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