AI Readiness
Decide where AI belongs in the clinical workflow
We assess the use case, data requirements, and clinical risks before implementation. Your team gets a clear view of where AI can help, where it should not be used, and who remains responsible.
What we deliver
AI Readiness in practice
- Assess whether the use case fits the EHR workflow.
- Review data access, integration needs, and clinical risks.
- Define governance, human review, and escalation responsibilities.
- Agree on evaluation and monitoring before deployment.
How an engagement works
From assessment to measured use
Assess
Review the current workflow, technical requirements, and decisions your team needs to make.
Architect
Define the approach, responsibilities, and validation plan.
Implement
Support build, testing, and workflow validation with your team.
Measure
Review the agreed measures and identify what needs to change.
Start with the workflow
Epic, Oracle Health, MEDITECH, athenahealth, eClinicalWorks, NextGen, ModMed, and other EHR names are trademarks of their respective owners. The Faulkner Group is independent and not affiliated with any EHR vendor.