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Reviving Revenue Cycle Operations with a Modern SaaS RCM Platform

Two engineers reviewing a system dashboard on a monitor

Industry

Healthcare

Overview

This organization is a leading revenue cycle management (RCM) provider in the behavioral health space, supporting healthcare organizations with billing, claims, and reimbursement workflows, including benefits verification, utilization review, electronic claims submission, claim scrubbing, UB04 and HCFA-1500 billing, follow-ups, payment posting, reporting, and document management.

Challenge

The platform's legacy technology was becoming a growing liability as the business scaled. Key challenges included:

  • Complex, poorly documented legacy code that was difficult to modify or extend
  • Outdated technology stack prone to errors and performance limitations
  • Limited internal technical bandwidth to modernize and maintain the platform
  • Integration risks connecting new components with existing systems
  • Scalability constraints handling growing data volumes and client demands

The Solution

Sigma Solve led a phased modernization of the platform onto a modern, SaaS-first technology stack, prioritizing stability throughout the transition.

Key initiatives included:

  • Legacy System Analysis - Conducted a comprehensive review of architecture, dependencies, and migration paths.
  • Phased Modernization - Prioritized tasks and phased delivery to minimize disruption.
  • Modern Tech Stack - Rebuilt the platform using C#, Angular, SQL Server, and scalable cloud components.
  • SaaS-First Architecture - Delivered a SaaS-first design for flexibility, accessibility, and cost efficiency.
  • Integration Testing - Applied robust integration testing with standardized APIs.
  • Collaborative Development - Worked closely with business stakeholders throughout delivery.
  • Agile Delivery - Ran regular sprints, demos, and feedback loops.

Outcome

The modernized SaaS platform gave the company a reliable, scalable foundation for its revenue cycle operations, cutting claim processing times, lowering operational costs, and setting the business up to handle significantly higher volumes.