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Patient Claim Authorization and Data Consolidation Healthcare Industry

What we did:

  • Executive Summary
  • Client Background
  • Business Challenge
  • Objectives
  • Implementation Journey
  • Results / Outcomes
  • Before RPA vs After RPA
  • Business Value Delivered

Executive Summary

A prominent healthcare organization was struggling with inefficiencies in processing patient claim authorizations and consolidating related data across multiple systems. The manual workflow—retrieving data, verifying claims on healthcare portals, extracting details from PDFs, and updating results—was time-consuming and prone to errors.
 
To address these challenges, an RPA solution built on UiPath was implemented to automate the entire workflow, from data extraction to database updates. The automation achieved up to 80% reduction in manual effort, improved accuracy to 95%, and enabled continuous 24×7 operations, significantly improving turnaround time and compliance readiness.

Client Background

Industry:

Healthcare and Insurance Services

Organisation Size:

Large healthcare provider managing thousands of insurance claims monthly.

Process Under Focus:

Patient Claim Authorization and Data Consolidation

The client’s claims team handled authorization verification for patient treatments covered under various insurance plans. Due to the volume and complexity of cases, the manual process led to delays, data inconsistencies, and compliance challenges.

Business Challenge

The claims authorization process required extensive manual effort and repetitive steps:

  • Retrieving claim details from the internal SQL database.
  • Logging into the healthcare portal for authorization verification.
  • Downloading and reviewing authorization PDFs.
  • Extracting and recording key data in Excel spreadsheets.
  • Updating validated information back into the database.

Key Pain Points

  • High manual dependency and long processing times.
  • Frequent data entry errors, affecting claim accuracy.
  • Delayed claim resolution and slower reporting cycles.
  • Limited scalability during peak claim periods.
  • Compliance risk due to inconsistent audit documentation.

The healthcare provider needed an automated, reliable, and scalable solution to handle large claim volumes efficiently while maintaining accuracy and regulatory compliance.

Objectives

The RPA initiative aimed to streamline claim authorization and data consolidation processes through intelligent automation.

Primary Goals

  • Reduce manual intervention and repetitive tasks.
  • Increase accuracy in data extraction and entry.
  • Ensure faster processing of claims and reporting.
  • Enable 24×7 automated operation with minimal supervision.
  • Provide complete traceability through automated logs and audit reports.

Success Criteria / KPIs

  • 80% reduction in manual processing effort.
  • 95% improvement in data accuracy.
  • 60% decrease in turnaround time for claim validation.
  • 100% automated audit logging for compliance.

Solution Approach

The automation solution was designed and developed using UiPath to ensure end-to-end workflow coverage, integrating multiple systems seamlessly.

RPA Tools & Technologies:

  • Platform: UiPath
  • Data Source: SQL Database
  • Application: Web-based Healthcare Portal
  • Document Processing: UiPath Document Understanding
  • Output: Excel Spreadsheets & Database Updates

Implementation Methodology

  • Conducted process feasibility analysis and developed a Proof of Concept (PoC).
  • Designed a modular workflow with separate automation components for extraction, validation, and update.
  • Performed a phased rollout, starting with one claim type, later expanding to all.
  • Provided training sessions and change management support for end users.

Key Features

  • Secure bot login and credential handling via UiPath Orchestrator.
  • Automated PDF download and data extraction using OCR and ML-based templates.
  • Real-time validation and reconciliation between portal and database.
  • Exception handling and retry mechanisms for process resilience.

Implementation Journey

Timeline:

  • 5 weeks (Process Analysis → Development → UAT → Go-Live)

Stakeholders Involved:

  • RPA CoE, IT Support, Loan Operations, and Compliance Teams.

Challenges & Mitigations:

Challenges

Frequent session timeouts in healthcare portal

Resolution

Implemented Orchestrator retry logic and secure re-login handling

Challenges

Dynamic PDF formats

Resolution

Used UiPath Document Understanding with trained extraction models

Challenges

Data synchronization delays

Resolution

Introduced verification checkpoints and time-based triggers

Results / Outcomes

Quantitative Outcomes

  • 80% reduction in manual workload. 95% accuracy in claim data validation and entry.
  • 3x faster processing and reporting cycles. 100% compliance-ready automated logs and reports.

Quantitative Outcomes

  • Enhanced employee satisfaction through workload reduction.
  • Improved turnaround time leading to better insurer and patient experience.
  • Strengthened audit and compliance controls through automated traceability.

Before RPA vs After RPA

Parameter

Manual Effort

Accuracy

Processing Time

Scalability

Before RPA

100% manual

75–80%

8–10 hours/day

Limited

After RPA

20% manual oversight

95–98%

2–3 hours (automated)

Easily scalable

Business Value Delivered

The RPA deployment delivered measurable business transformation and strategic value:

Strategic Impact

01

Operational Scalability

The automation framework now handles high claim volumes effortlessly.

02

Digital Transformation Enablement

Established a foundation for integrating future intelligent automation initiatives.

03

Cost Efficiency

Significant reduction in FTE hours and resource dependency.

04

Improved Compliance & Governance

Automatic audit trails ensure transparency and adherence to healthcare data standards.

05

Customer-Centric Operations

Faster, more accurate claim processing improved insurer relationships and patient satisfaction.

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