The client, a US-based digital health company operating an established Electronic Medical Records (EMR) platform, needed a comprehensive Revenue Cycle Management (RCM) solution to eliminate billing inefficiencies and revenue leakage across its provider network. Manual charge entry, disconnected billing workflows, high claim rejection rates, and limited financial visibility were significantly impacting cash flow and operational efficiency.

smartData engineered a modular, cloud-native RCM platform on .NET Core and SQL Server, integrated with the client’s EMR via secure REST APIs. The system automates the full claims lifecycle — from insurance eligibility verification (ClaimMD) and CPT/ICD charge capture to EDI 837 claim submission, ERA 835 posting, denial management, and real-time financial dashboards. Built on HIPAA-compliant architecture with RBAC, encrypted data pipelines, and Agile delivery (CMMI Level 3), the platform dramatically reduces manual effort, improves clean-claim rates, and provides actionable financial intelligence across providers and payers.

Features

• Insurance Eligibility Verification : Real-time and batch eligibility checks via ClaimMD API, with automated patient notification for non-eligible cases
• End-to-End Claims Lifecycle : Digital claim creation, EDI 837P submission, real-time status tracking, bulk correction, and automated resubmission
• ERA Auto-Posting & Ledger Management : Automated ERA (EDI 835) import, payment and adjustment posting at service-line level, with secondary claim generation
• Prior Authorization Tracking : EDI 278 submission and response parsing, authorization expiry alerts, and complete authorization history per patient
• RCM Analytics Dashboard : Real-time KPIs covering eligible patients, outstanding claims, ERA totals, and drill-down financial reports with PDF export

Technical Challenges

• Challenge: EMR-to-RCM data sync without schema coupling. The client’s EMR used a proprietary schema, and any direct database dependency would have created tight coupling that would break on EMR upgrades.
• How We Solved It: Designed a dedicated RCM database with its own local copies of patients, providers, encounters, and insurance data. Background sync jobs and a manual trigger pull data from the EMR via secured REST APIs, with error logging and retry logic ensuring data consistency without schema dependency.
• Challenge: High claim rejection rates due to pre-submission coding errors (CPT/ICD mismatches, bundling violations, invalid modifiers) that only surfaced after payer rejection.
• How We Solved It: Implemented a pre-submission claim scrubber applying configurable backend rules for bundling, modifier validation, MUE-like edits, and payer-specific requirements before any claim reaches the clearinghouse — catching errors at the source and significantly improving the clean-claim rate.
• Challenge: Complex multi-payer ERA reconciliation. ERA files (EDI 835) arrive with varying formats, partial payments, contractual adjustments, and coordination-of-benefits scenarios that require precise service-line matching.
• How We Solved It: Built automated ERA parsing and posting workflows that match remittance data to submitted claims at the service-line level, apply contractual adjustments, calculate remaining patient responsibility, and automatically trigger secondary claim generation — with a manual ERA screen as fallback for out-of-band payments.
• Challenge: Bulk denial correction at scale. Providers routinely needed to correct and resubmit 80–100 claims in a single batch without disrupting active workflows.
• How We Solved It: Delivered a mass fix-and-refile feature supporting batch corrections and resubmission at scale, alongside aging views and worklist prioritization to ensure high-value denials are addressed before payer deadlines.