Explore the training
The learning catalog is being prepared.
Start with a shared foundation, then choose the role, depth, and healthcare decisions that matter. Select an area to see examples of what people learn and practice.
Catalog preview
Four areas. One shared foundation.
- 01
Understand what the system is doing
Build a working vocabulary for the types of AI already appearing across healthcare and how each type produces an output.
- Predictive, generative, and agentic AI
- How models learn and produce answers
- Why confident output can still be wrong
- 02
Use AI safely in daily work
Practice the decisions that protect patients, health information, and the people using AI-assisted tools.
- Approved, restricted, and unauthorized tools
- Health information in prompts, uploads, and transcripts
- Hallucination, bias, overreliance, and escalation
- 03
Practice with healthcare workflows
Connect the learning to real work so each role knows what to check before an AI-assisted output moves forward.
- Ambient notes and patient messages
- Risk scores, scheduling, coding, and administrative work
- Role-based review and human responsibility
- 04
Lead and govern responsible use
Give leaders and governance teams a common way to evaluate tools, assign ownership, and keep learning current after deployment.
- Intake, approval, and the AI inventory
- Vendor evaluation and local validation
- Monitoring, incident response, and leadership reporting