medical_records_processing · healthcare · workflow
CU Medicine reaches 92% radiology coding automation with CodaMetrix, cutting coding lag by 3.6 days
CU Medicine was constrained by a 46% automation ceiling in radiology coding and suffered from coding lag that slowed operations, while needing to handle high visit volumes without adding headcount.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · High-volume visit intake
Patient visits arrive at a rate of 6,000 per day.
Tools used
CodaMetrix
Outcome
CU Medicine reached 92% radiology coding automation, cut coding lag by 3.6 days, and handled 6,000 visits a day without adding headcount, while also decreasing costs.
What failed first
Prior automation hit a ceiling at 46%, unable to push radiology coding automation higher.
Results
Time saved3.6 days
Volume46%
Cost replaceddecreased costs
Grounding & classification
Source type: vendor customer story
23 fields verified against source quotes.
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