Clinical documentation · Production
DeepScribe AI Coding — Confident E/M Code Capture with Ambient Intelligence
The problem
Healthcare practices lose significant Medicare revenue due to documentation errors and incorrect E/M coding, with the most billed code (CPT 99214) being a particular point of failure.
Workflow diagram · grounded in source
1
Ambient AI captures visit
ai_action
“DeepScribe ambient AI captures the full context of each visit”
2
Real-time visit analysis
ai_action
“Real-time analysis
VISIT TYPE
PROBLEMS ADDRESSED
SEVERITY LEVEL
DATA REVIEWED
TOTAL TIME”
3
E/M code recommendation
output
“instantly recommends the right E/M code with documentation to supports your complexity of service”
4
EHR integration
integration
“DeepScribe integrates with the most widely used EHRs”
Reported outcome
(not stated)
Reported metrics
Medicare payments lost due to documentation errors (industry)$565 million
Reported stack
DeepScribe
Frequently asked questions
What did this team achieve with this AI workflow?
(not stated)
What tools did this team use?
DeepScribe.
What results were reported?
Medicare payments lost due to documentation errors (industry): $565 million (source-reported, not independently verified).
How is this clinical documentation AI workflow structured?
Ambient AI captures visit → Real-time visit analysis → E/M code recommendation → EHR integration.