Time-consuming: Manual data entry at scale demands significant human effort.
Error-prone: Human mistakes can lead to serious data inconsistencies.
Difficult to scale: As document volume grows, manual processes become inefficient and unsustainable.
To overcome these challenges, we introduced an AI-powered system that automates document detection, structure identification, and information extraction—designed specifically for the healthcare industry.
Input Image Acquisition: Documents are captured via scanners, mobile devices, or uploaded from digital
sources.
AI Server Processing: Captured images are sent to an AI-powered vision model that detects and segments
document structures such as tables, headers, and key-value pairs.
Data Storage & Processing: Extracted data is stored in a NoSQL database for easy retrieval and structured
analysis.
The structured data can be used for automation, analytics, or integration with existing ERP systems.
Data collection
Annotation process
AI model training
Parsing and data structuring
Up to 80% reduction in manual data entry efforts
Higher accuracy and consistency in document interpretation
Seamless integration with healthcare IT systems
Scalable and adaptable for large volumes of medical documents