Government health departments process a surplus amount of handwritten immunization consent forms daily, which are critical for patient billing and insurance verification. Historically, these forms were manually reviewed and entered into systems, a time-consuming process prone to errors. Healthcare staff faced a major challenge in deciphering a plethora of different handwriting styles and locating scattered insurance fields (as each form came in a different format), often leading to delays, inaccuracies, and rejected claims.
As immunization programs expanded, delays caused by manual tasks placed mounting pressure on already overstretched administrative teams. To maintain service quality and meet growing demand, government health departments required a reliable and versatile solution to automate data extraction that was both faster and more accurate.
To streamline this laborious process, Rannsolve’s Cognitive Data Extractor (CDE) was brought into action. CDE featured advanced handwriting recognition technology that could scan, read, interpret, and extract insurance details from handwritten immunization consent forms. CDE was fine-tuned using large datasets and designed to understand a variety of handwritings and form templates. The AI identified key fields such as provider name, policy number, and group IDs from scanned forms, regardless of the calligraphy and layout inconsistencies.
CDE’s adeptness at handling these variations, and post-processing validation—quality check (QC)—carried out by human teams ensured that the extracted data was precise and accurate. This intelligent automation eliminated the need for manual data review, reduced human errors, and allowed for smooth integration with the government healthcare facilities’ existing billing systems.
Rannsolve’s AI-powered CDE achieved a remarkable feat, reaching a whopping 92% data extraction accuracy and drastically reducing the time and effort previously spent on manual review. Government health departments reported an 80% decrease in manual workload and were able to process over 10,000 forms per day, with a rejection rate of less than 2%.
The result? Insurance forms were submitted faster and with greater accuracy, improving reimbursement cycles and strengthening patient relationships.
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