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HealthTech / RCM Case Study

Automating Healthcare Revenue Cycle Management

How PRIMESOFTWARE engineered an AI-driven, HIPAA-compliant claim processing engine that reduced billing denial rates by 38% and scaled annual processing to $400M+.

$400M+

Annual Claims Processed

99.4%

First-Pass Scrub Accuracy

38%

Reduction in Denials

14 Days

Faster Reimbursement Cycle

The Challenge

Manual Bottlenecks & High Denial Rates

Our client, a multi-state hospital network with over 45 outpatient clinics, was struggling with legacy billing systems that relied heavily on manual data entry and outdated ICD-10 validation rules.

As a result, claim denial rates exceeded 18%, causing severe cash flow delays, compliance audit risks, and operational strain on billing staff.

The Solution

Architecting an AI-Driven RCM Engine

PRIMESOFTWARE deployed a dedicated team of HealthTech engineers to build a custom microservices RCM platform integrated directly with the client’s Epic and Cerner Electronic Health Record (EHR) systems via HL7/FHIR APIs.

HealthTech RCM System (Pexels)

Real-Time FHIR EHR Data Integration

Bi-directional data synchronization extracting clinical notes, procedure codes, and insurance eligibility automatically.

Predictive AI Scrubbing Rules

Machine learning models trained on millions of historical claims to flag missing documentation before submission.

Bank-Grade Encryption & Audit Trails

AES-256 encryption at rest and in transit with comprehensive immutable access logging for HIPAA compliance.

Key Business Impact

Within 90 days of rollout, the client achieved a 99.4% first-pass claim acceptance rate. The automated workflow freed up 25+ administrative staff to focus on patient care and complex audit disputes, unlocking over $14M in previously delayed revenue.

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