Program Overview
A 3-day, in-person intensive designed to help healthcare professionals move from using AI tools to building real AI automation solutions. Participants leave with a working solution tailored to their organization.
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Come with a workflow problem. Leave with a working AI solution. This is a hands-on, build-focused program—not lectures.
Who It’s For?
- Clinicians (physicians, nurses, pharmacists)
- Healthcare administrators and leaders
- IT and digital health professionals
- Operations and revenue cycle teams
- Consultants and healthcare entrepreneurs
What You’ll Learn?
- Identify high-impact workflows for AI automation
- Build AI-powered solutions using no-code tools
- Design safe, compliant, and effective workflows
- Measure impact and ROI of automation
- Implement AI solutions in real healthcare settings
Program Structure
- Day 1: Identify problems and opportunities (Audit & Gauge)
- Day 2: Build your AI solution (Engineer & Navigate)
- Day 3: Measure, refine, and present your solution (Track & Launch)
Program Details
- Format: 3-day in-person
- Cost: $1,000
- Includes: All tools, training, certification, and 1 year of support
What You’ll Leave With
- A working AI automation solution
- Implementation-ready strategy document
- Certificate of completion
- Access to additional certifications
Why This Program?
Most programs teach AI concepts. This program helps you build and implement real solutions—without needing to code.
Program Agenda
Day 1: Identify the Opportunity (Audit & Gauge)
Focus: Understanding AI in healthcare and identifying what to automate
Session 1: Introduction to AI Agents in Healthcare
Learn the difference between AI tools, agents, and automation—and how they apply to real workflows.
Session 2: The AGENT Framework
A step-by-step method to identify and plan AI automation opportunities.
Session 3: Ethics, Safety, and AI Foundations
Key considerations including bias, compliance, and patient safety.
Session 4: Workflow Analysis & Readiness
Evaluate your workflow to determine if it’s ready for automation.
Build Lab 1: Your First Automation
Create a simple, working AI-powered workflow.
End of Day Outcome:
A mapped workflow, identified opportunity, and your first automation built.
Day 2: Build the Solution (Engineer & Navigate)
Focus: Designing and building your AI automation
Session 5: Designing AI Workflows
Learn how to redesign processes using AI—not just automate existing ones.
Session 6: Where AI Fits in Clinical Care
Understand where AI adds value—and where human oversight is critical.
Session 7: Governance & Compliance
Ensure your solution meets HIPAA, ethical, and operational standards.
Build Lab 2: Build Your Core Solution
Develop your main AI automation with expert guidance.
End of Day Outcome:
A working AI solution and a plan to implement it safely and effectively.
Day 3: Launch & Scale (Track & Launch)
Focus: Measuring success and preparing for real-world implementation
Session 8: Measuring Impact
Learn how to track outcomes like time savings, cost reduction, and quality improvement.
Session 9: Scaling AI Solutions
Explore how to expand from one automation to system-wide impact.
Build Lab 3: Finalize & Refine
Test, improve, and prepare your solution for presentation.
Session 10: Cohort Showcase
Present your solution and receive expert feedback.
Session 11: Ongoing Support & Next Steps
Activate your 12-month support system and continued learning.
End of Day Outcome:
A fully developed AI solution, ready to implement, plus a clear plan for scaling.