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Case Study

  • Client: Lupin Diagnostic Limited (LDL)
    Industry: Healthcare & Diagnostics
    Solution Implemented by: Avenir Digital Inc.

Optimizing the Lupin Diagnostic Limited (LDL) Collection Process with Automation

Overview

Lupin Diagnostic Limited (LDL) is a leading diagnostic service provider committed to delivering high-quality and timely medical testing. However, its sample collection process faced inefficiencies due to manual workflows, data silos, and compliance challenges. To address these issues, LDL partnered with Avenir Digital Inc. to implement automation solutions, leveraging Robotic Process Automation (RPA) and AI-driven data integration

Challenges

Sample Tracking Inefficiencies

Manual labeling and tracking led to errors and delays.

Lack of real-time visibility into sample location and processing status.

Mismanagement in logistics, causing delays in sample transportation.

Patient Data Integration Issues

Fragmented systems (LIMS, SAP, and other healthcare platforms) causing inconsistencies.

Manual data entry leading to transcription errors.

Delays in generating and delivering test results to patients and physicians.

Regulatory Compliance and Documentation

Adhering to healthcare regulations (NABL, CAP, FDA) was time-consuming and error-prone.

Lack of automation in generating compliance reports.

Difficulty in maintaining audit trails for sample handling and reporting.

Workflow Inefficiencies

Manual scheduling and tracking of sample collections.

Ineffective demand forecasting for logistics and resource planning.

Increased operational costs due to redundant processes.

Avenir Digital’s Solution

Solution Implemented by Avenir Digital

Avenir Digital introduced an automation-driven approach to optimize LDL’s collection process

Automated Sample Tracking & Management

RPA bots enabled end-to-end tracking, from collection to processing.

Barcode/RFID-based labelling automated sample identification, reducing errors.

Real-time dashboard for monitoring sample status, improving operational visibility.

Seamless Patient Data Integration

Integrated LIMS, SAP, and patient management systems for real-time data synchronization.

Automated data entry and verification, reducing human errors.

AI-based system flagged inconsistencies in test results for quick review.

Regulatory & Compliance Automation

Automated report generation for NABL, CAP, and FDA compliance.

RPA ensured proper documentation and audit trail maintenance.

Real-time alerts for non-compliance issues, enabling proactive resolution.

AI-Driven Workflow Optimization

Automated scheduling of sample collections based on demand patterns.

AI-powered predictive analytics optimized logistics, reducing turnaround time.

Automated test result notifications for faster patient communication.

Results & Business Impact

Conclusion

By implementing RPA and AI-driven automation, Avenir Digital transformed LDL’s collection process, eliminating inefficiencies, ensuring regulatory compliance, and enhancing patient service quality. This case study highlights how automation can revolutionize diagnostic operations, making them more efficient, accurate, and cost-effective.

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