Medical records processing · Production
CodaMetrix brings 88% automated radiology coding to University of Miami Health in under 24 months
The problem
University of Miami Health faced labor shortages and relied on costly outsourcing for radiology coding.
Workflow diagram · grounded in source
1
Contextual coding automation
ai_action
“CONTEXTUAL CODING AUTOMATION”
2
Case eligibility and quality
validation
“CodaMetrix enhanced case eligibility and coding quality at the University of Miami”
Reported outcome
University of Miami Health achieved 88% automated radiology coding in under 24 months, with improved case eligibility and coding quality.
Reported metrics
Radiology coding automation rate88%
Time to achieve automation targetunder 24 months
Reported stack
CodaMetrix
Frequently asked questions
What did this team achieve with this AI workflow?
University of Miami Health achieved 88% automated radiology coding in under 24 months, with improved case eligibility and coding quality.
What tools did this team use?
CodaMetrix.
What results were reported?
Radiology coding automation rate: 88%; Time to achieve automation target: under 24 months (source-reported, not independently verified).
How is this medical records processing AI workflow structured?
Contextual coding automation → Case eligibility and quality.