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Enhancing Healthcare Effectiveness Through Concurrent RPA Automation: Eligibility Verification Case Study

Client Overview

A top-tier US-based health tech organization sought to automate its insurance eligibility confirmation process, which involved frequent interactions with more than 24 insurance payor portals. As a healthtech organization, the client received thousands of daily requests for confirmation, making automation essential for business efficiency, data security, and compliance with regulations.

Problem Statement

The client’s step-by-step procedure for validating patient eligibility on several payer websites was:
  • Time-consuming, where the personnel must log in and verify each stimulus individually.
  • Prone to error, especially during data entry and extraction.
  • Scalability-challenged, struggling to meet growing demand.
  • Subject to compliance risks, especially sensitive patient information and HIPAA compliance.
These issues led to delayed insurance processing, increased operating costs, and reduced overall productivity.

Solution

Auxiliobits Pvt Ltd developed an end-to-end automation solution using UiPath RPA, tailored specifically for the client’s needs:
  • Technology Stack: UiPath ReFramework, Orchestrator, unattended bots, API integration, AES-256 encryption.
  • Community Orchestrator: Assigned individual bots and queues for 24 payers.
  • Enterprise Orchestrator: Handled nine payers with parallel browser processing (3 sessions simultaneously) to maximize throughput.
  • API integration for secure two-way data flow between bots and the client’s system.
  • Encryption and decryption libraries ensured compliance with HIPAA data protection regulations.

Implementation

  • Studied payer websites.
  • Evaluated UiPath capabilities.
  • Defined automation architecture.
1. Planning & Research
  • Built modular workflows using UiPath ReFramework.
  • Designed parallel execution logic for enterprise deployment.
  • Integrated secure API communication and encryption modules.
2. Development
  • Conducted unit, integration, and load testing.
  • Simulated API timeouts.
  • Performed security and compliance validation.
3.Testing
  • Community Orchestrator: Handled all 24 payers individually.
  • Enterprise Orchestrator: Handled eight payers via parallel execution.
  • Delivered training and documentation to the client’s team.
4. Deployment

Results

The automation brought measurable improvements:
  • 3x faster processing with parallel browser execution.
  • 70% reduction in manual effort for patient eligibility tasks.
  • 99% accuracy rate in data extraction and submission.
  • Scalable architecture enabled handling of high volumes without increasing the bot count.
  • HIPAA-compliant encryption and secure APIs ensured the integrity of data.
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Auxiliobits is a global Software Consulting and Artificial Intelligence advisory company. Auxiliobits drives digital transformation by reinventing enterprise operations through hyper-automation and AI enabled applications.

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