quality_assurance · healthcare · workflow
New York Area Health System achieves 6x ROI and closes 4,000+ care gaps with Notable's AI chart scrubbing
A New York Area Health System faced a growing backlog of payer-submitted care gaps whose supporting clinical evidence was scattered across scanned documents and free-text notes in their EHR, making manual chart reviews unable to keep pace with volume and leaving patient care uncredited.
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 · Payer care gaps arrive
Every year, thousands of payer-submitted care gaps arrive for the health system to address.
Tools used
NotableFlow Builder
Outcome
Since go-live, the health system reviewed over 50,000 charts, raised the care gap closure rate from 3–4% to 7%, identified more than 4,000 incremental gap closures, achieved documentation accuracy exceeding 95%, saved 4,000+ staff hours, and delivered $400,000 in ROI on $60,000 in production utilization — a 6x return.
Results
Time saved4,000+ hours
Volumeover 50,000
Cost replaced$400,000
Grounding & classification
Source type: vendor customer story
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