NSA Dispute Prediction & Prevention Analytics (SaaS)
A data analytics platform that ingests provider claims data and payer contract terms, identifies claims likely to trigger NSA disputes before submission (coding mismatches, out-of-network flags, fee schedule gaps), and alerts providers to fix them pre-submission or proactively negotiate with payers. Reduces dispute filing by 25–35% and prevents revenue leakage before disputes occur.
22 weeks • 70% confidence
Value Proposition
Prevents disputes before they happen (vs. resolving them after); providers avoid 30–40% of disputes through pre-submission fixes; payers reduce intake volume and arbitration escalation; both save on dispute resolution costs and timelines.
Target Audience
Health systems, ASCs, urgent care chains, and large provider networks (100+ locations) with 10K+ monthly claims; also payers wanting to reduce inbound dispute volume.
Key Features
- Claims intake API (SFTP or direct feed from billing system) with automated coding, contract, and NSA applicability checks
- Risk scoring: each claim flagged as low/medium/high dispute risk with reason (coding mismatch, OON flag, fee schedule gap, NSA applicability)
- Pre-submission alert dashboard: providers see high-risk claims 24–48 hours before submission with remediation suggestions
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Healthcare providers and payers trapped in escalating dispute resolution bottlenecks under No Surprises ActHealthcare providers and insurance payers are filing 16% more disputes quarterly under the No Surprises Act, but the arbitration system is overwhelmed with backlogs despite faster closure rates. Providers lose revenue during dispute resolution delays, payers face administrative burden managing surging claims challenges, and both lack predictable timelines for payment resolution, forcing them to absorb costs or delay care decisions while disputes languish in the system.
Score: 52.1%