Care New England cuts authorization-related write-offs by 55% with Notable AI automation of radiology prior authorizations and NOA
“Care New England cuts authorization-related write-offs by 55% with Notable AI automation of radiology prior authorizations and NOA” documents a Medical Coding & Revenue Cycle deployment in Hospital & Health System at Care New England. www.notablehealth.com reports authorization write-off reduction: 55%; this directory has not independently verified that result.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
- Source link checked:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: www.notablehealth.com
The Challenge
Care New England (CNE), Rhode Island's second-largest hospital system, faced rising authorization volumes due to payer mix shifts toward Medicare Advantage, compounding existing revenue cycle staffing shortages. Each notice of admission (NOA) or prior authorization required ~15 minutes of manual work across two different EMR systems (Oracle and Epic) with varying payer rules. CNE estimated they would need 14 additional FTEs to keep pace, and average prior authorization turnaround was nearly 10 days, causing patient and provider frustration.
The Solution
CNE partnered with Notable to deploy intelligent automation for their NOA and prior authorization workflows. Notable's platform standardized the process across both EMR systems, eliminated manual errors (such as faxing to wrong numbers), and automated rule-following for varying payer requirements. Staff time was reallocated to high-value work including No Surprises Act compliance, and the organization gained resilience to staffing absences.
Results
CNE achieved a 55% reduction in authorization-related write-offs and saved 2,841 staff hours. The NOA success rate reached 98% and prior authorization success rate hit 83%. Authorization turnaround time dropped by 80%, and projected write-off and cost savings within 12 months totaled $644,000.
Key Takeaways
- Automating revenue cycle workflows across multiple EMR systems eliminates human error and standardizes payer-specific rules without additional headcount.
- Intelligent automation can absorb staffing volatility (illness, turnover) and free existing staff for higher-complexity compliance work.
- Targeting high-volume, time-sensitive processes like NOA with automation yields rapid, measurable financial impact within months of deployment.
Explore Related
Vendor
Details
- Industry
- Hospital & Health System
- Use Case
- Medical Coding & Revenue Cycle
- AI Technology
- Robotic Process Automation
- Company Size
- Enterprise
- Company
- Care New England
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
- Source link checked
Cited source
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