PayerMatch

Accurate Payer ID Matching. Zero Guesswork.

PayerMatch automates payer name and address matching to the correct payer IDs to accelerate claim submission, eligibility verification and claim status.

Inaccurate Payer Data Delays Claim Payments

A single payer may appear under dozens of different names making accurate payer ID matching difficult. When payer names do not match the correct payer IDs:

Claim submissions (837) are rejected due to invalid payer routing
Claim status and eligibility responses return unsuccessful results
Staff waste hours manually researching payer information
Automation breaks down due to missing, inconsistent, or duplicate data
Claim resolution and payments are delayed

Payer identification errors create costly delays, yet they are entirely preventable.

Meet PayerMatch:
Automated Payer Name-to-Payer ID Resolution for Clean, Reliable Data

PayerMatch eliminates ambiguity by normalizing payer names and resolving discrepancies to ensure precise mapping to the correct payer IDs. The result is cleaner data, faster workflows, and accelerated claim resolution and reimbursement.

Key Features

API and Batch File Enabled: Supports high-volume real-time connectivity
Intelligent Payer Name Normalization: Automatically standardizes payer names, variations, and misspellings across all data sources
Accurate AI-Driven Payer ID Matching: Identifies the correct payer ID in real time using curated payer intelligence and machine learning logic
Data Integrity Validation & Cleanup: Flags and resolves incomplete, duplicate, or conflicting payer data to prevent downstream errors
Optimized Claim Submission & Status Accuracy: Ensures 837 submissions, 270 eligibility and 276 claim status requests are mapped to the right payer, maximizing first-pass acceptance and reducing unnecessary rework
Seamless Integration: Embeds into any RCM, billing, clearinghouse, or workflow with minimal lift

Why Organizations Choose PayerMatch

Increase First-Pass Yield: Reduce rejections by submitting claims with valid payer IDs
Reduce Manual Burden: Eliminate manual payer research and administrative overhead
Improve Transaction Accuracy: Ensure that EDI requests reach the correct adjudication or membership system
Strengthen Data Integrity: Cleanse data across all enterprise systems
Scale Effortlessly: Handle millions of claims with high-volume processing and enterprise-grade scalability

PayerMatch doesn’t just fix mistakes, it prevents them.

Built for Modern Health Data Infrastructure

RESTful APIs for real-time connectivity and batch workflows
High-volume processing with enterprise-grade scalability
HIPAA-compliant architecture and secure data handling
Seamless interoperability with diverse platforms

PayerMatch fits effortlessly wherever payer data flows.

What Partners Are Saying
“PayerMatch processed 93,000+ rows of payer data in 4–5 hours. That would have taken a staff member two weeks.”

Flexible Pricing That Scales With Your Organization

Whether you process thousands or millions of claims, PayerMatch adapts to your volume and workflow needs.

Ready to eliminate payer mismatches for good?

Clean payer data is the foundation of accuracy for the 837, 270 and 276 transactions. Let PayerMatch do the work, so your team doesn’t have to.

CASE STUDIES

Insurance Discovery • Medi-Cal Case Study

Insurance Discovery • Medi-Cal Case Study

For 13,156 Medi-Cal accounts, we identified active coverage for 10,959 rows, corrected 2,915 names and dates of birth, resolved 617 incorrect member IDs, and uncovered Managed Care Organizations or IPAs for 8,397 rows.

Case Studies Insurance Discovery

Insurance Discovery • RCM Case Study

An RCM firm serving hospitals and clinics achieved a 30% success rate in locating active coverage, a 2.5X ROI, and improved resource efficiency by implementing a daily insurance validation process and customizing output files for claim submissions.

Insurance Discovery • Radiology & Imaging Firm Case Study

Case Studies Insurance Discovery

Insurance Discovery • Radiology & Imaging Firm Case Study

A radiology firm achieved a 33% success rate in locating active coverage, a 3X return on spend, and faster revenue cycles by automating claim submissions, prioritizing payers, and streamlining Blue plan validation through weekly insurance verification.