The Challenge
A prominent Business Process Outsourcing (BPO) group partnering with a large government agency faced the need to modernize and streamline the management of millions of physical medical records. Challenges included accurately extracting structured data, filtering out non-informational images, correcting text orientation, and scale the solution to handle processing up to 2 million images per day.
The Solution
NLP Logix designed and implemented an advanced, automated digitization system tailored to the client’s high-volume needs. Key components included:
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- Custom OCR Integration: AI-powered Optical Character Recognition (OCR) to accurately extract structured data even from inconsistent date stamps.
- Neural Network Models for Metadata Generation: Trained to process scanned images with metadata that included document classification, key data point extraction, and quality assessment indicators.
- Machine Learning-Based Image Filtering: Automatic exclusion of non-informational images, addressing ink bleed-through issues.
- Automated Image Orientation Correction: Ensured proper document alignment for optimal readability.
- Scalable Cloud-Based Processing Pipeline: Cloud-based architecture to scale the process of 2 million pages per day.
- Comprehensive Quality Assurance: Regular audits, health monitoring, and manual validations to maintain accuracy. Weekly batches of up to 15 million images required quality checks before approval.
The Results
The implementation of NLP Logix’s automated digitization solution delivered significant operational efficiencies:
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- 80% Reduction in Labor Costs through automation of manual tasks.
- Scalable Efficiency with seamless processing of millions of pages weekly.
- Improved Data Accessibility with secure, well-organized digital archives.
- Enhanced Quality Assurance ensuring high data accuracy and compliance with regulatory standards.
By modernizing their document management process, the Business Process Outsourcing (BPO) client achieved substantial cost savings, increased accuracy, and improved operational scalability, positioning them for future growth in digital transformation initiatives.
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