RPA-Powered Data Integration for Unified Healthcare Operations
Healthcare Automation
Process Efficiency
Data Standardization
Digital Transformation
RPA-Powered Data Integration for Unified Healthcare Operations
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Industry
Healthcare / Medical Equipment
Product
RPA-Based Data Integration Framework
Technology Stack
Python
Quick Summary
IntelERA partnered with a leading in-home respiratory care provider to implement an RPA-driven data integration solution. The project automated the consolidation of fragmented systems into a centralized database, streamlining business processes and enhancing operational efficiency across the organization.
Problem Definition
Problem Definition / Challenges
The client, a provider of software solutions for HME and pharmacy businesses, had grown through multiple acquisitions, resulting in a scattered ecosystem of databases in various formats and versions. This fragmentation posed challenges in maintaining consistency across critical processes such as:
  • Payer management
  • Patient data
  • Provider and facility records
  • CMNs, PARs, and ILSOs
  • Sales order handling
  • Documentation workflows
Manual interventions were frequent, error-prone, and resource-intensive, leading to increased operational costs and delays in service delivery.

Our Approach / Solution
IntelERA implemented an RPA-based integration framework to automate and standardize data handling across systems. RPA bots were designed to:
Extract data from disparate databases
Transform and validate information using defined business rules
Load standardized data into a unified system
Automate routine workflows and eliminate manual touchpoints
The RPA bots operated 24/7 with high accuracy, reducing the need for manual reconciliation and allowing teams to focus on higher-value tasks.
Result
The Result
The centralized and automated framework not only improved current operations but also established a scalable foundation for future healthcare innovations and automation initiatives. The RPA-powered solution delivered substantial improvements:
14 legacy systems consolidated into 1 unified database
72% reduction in manual data entry tasks
40% decrease in operational and IT maintenance costs
3x faster data processing and reconciliation across departments
99.2% data accuracy rate achieved across all critical workflows
Annual savings of over $500,000 in licensing, labor, and infrastructure costs
Improved turnaround time for documentation and patient onboarding by 50%
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