A government institution that managed public health programs faced a big challenge processing thousands of handwritten Medical Examination Report Forms. These forms, often written in a mix of handwriting styles and varying formats, contained critical information like patient demographics, test results, and physician remarks. With growing volumes and the mandate for timely public health monitoring, the traditional data management led to significant delays and hampered their efforts.
To solve this, Rannsolve partnered with the government institution and introduced the AI-powered Cognitive Data Extractor (CDE), combining multilingual optical character recognition (OCR) with a hybrid of rule-based and machine learning (ML) models. CDE could recognize variations in form layouts and accurately capture everything from test results to physicians’ comments, regardless of how the forms were filled.
The AI-driven CDE system achieved 95% AI accuracy in data extraction and saved 80% costs compared to manual entry. With the ability to handle over 50,000 forms per day, CDE significantly improved the digitization efforts. This transformation helped the government institution get rid of its data backlog and build a more responsive and data-driven approach to public health monitoring.
Comprehensive Solutions – Driven by AI Innovation – Transforming Business