NYC Health System boosts monthly charge volume 20% with Commure Charge Note Reconciliation
NYC Health System deployed Natural Language Processing for Medical Coding & Revenue Cycle in Hospital & Health System. As reported by commure.com: 20% ($7.5M → $9.4M) increase in average monthly charge volume.
Source-reported figures (cited source: commure.com)
What NYC Health System was trying to fix
An NYC-based nonprofit acute care teaching hospital (400+ beds, 300+ physicians) could not track provider activity end-to-end due to a lack of integration between their MEDITECH EHR and AthenaHealth billing system. Billable services were being documented but not billed, resulting in missed charges, delayed submissions, and high denial rates for timely filing.
What NYC Health System deployed
In January 2025, the health system deployed Commure's Charge Note Reconciliation (CNR) engine, which automatically compares clinical notes to billing records and flags underbilled services. The solution runs on the Commure Pro platform, integrating with any EHR and billing system, and can auto-generate CPT and ICD-10 codes from clinical notes via Autonomous Coding capabilities.
Results
Within one month of go-live, average monthly charges rose from $7.5M to $9.4M (20% increase) and collections increased from $2.2M to $2.8M (21% increase). Charge entry lag dropped by 28 days (55% improvement) and timely filing denials were cut from 68% to 32% — a 53% reduction. The health system is now expanding the solution to additional departments.
Key Takeaways
- Reconciling clinical notes against billing records at scale can rapidly surface significant missed revenue that manual processes overlook.
- Integration-agnostic platforms (EHR + billing system) remove the technical barrier that causes charge leakage in complex IT environments.
- Results can materialize within a single month of deployment when the tooling has full visibility into the clinical documentation pipeline.
Evidence for NYC Health System's Medical Coding & Revenue Cycle deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- commure.com
- Last updated
- Source link checked
Explore Related
Details
- Industry
- Hospital & Health System
- Use Case
- Medical Coding & Revenue Cycle
- AI Technology
- Natural Language Processing
- Company Size
- MidMarket
- Company
- NYC Health System
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