GCP, Cloud Technology, AI/ML

Automating Prescription Verification for Tata 1MG

Key Challenges

Tata 1MG faced challenges in manually verifying handwritten prescriptions, leading to delays in order fulfillment. Extracting accurate medicine names from diverse prescriptions and ensuring data security were critical concerns.

Key Results

Ankercloud's solution automated prescription verification with 75% accuracy, reducing manual effort by 50% and enabling real-time data extraction. Implementation of Google’s Cloud Data Loss Prevention API enhanced data security, restricting access to authorized teams and ensuring compliance.

Overview

Tata 1MG faced a significant challenge in manually verifying daily handwritten prescriptions uploaded by users. The manual process was not only tedious but also caused delays in order delivery. To enhance efficiency and accuracy, Tata 1MG aimed to automate the prescription verification process using OCR (Optical Character Recognition) capabilities and verify medicines in the database from multiple vendors with a robust data loss prevention setup.

Challenges

  • Manual Verification: The process of manually verifying handwritten prescriptions was time-consuming and labor-intensive, leading to delays in order fulfillment.
  • Data Accuracy: Ensuring the accurate extraction of medicine names from complex and varied handwritten prescriptions was crucial.
  • Data Security: Protecting user data while automating the verification process was essential to maintain compliance and user trust.

Solution

Ankercloud collaborated with Tata 1MG to develop a comprehensive solution:

  • OCR Frameworks and Custom Models: Ankercloud utilized OCR frameworks to extract information from handwritten prescriptions. Custom models were developed and deployed on Vertix AI to handle the diverse and complex nature of the prescriptions.
  • Medicine Verification: The extracted medicine information was verified using fuzzy logic through a centralized library containing comprehensive medicine data from various vendors.
  • Data Loss Prevention: To safeguard user data, Google’s Cloud Data Loss Prevention API was implemented, ensuring that sensitive information was only accessible to authorized teams handling customer orders.

Business Outcome

The implementation of Ankercloud's solution resulted in significant improvements for Tata 1MG:

  • Increased Accuracy: The automated system achieved a 75% accuracy rate in extracting prescription information, reducing errors and enhancing reliability.
  • Reduced Manual Effort: By automating the verification process, Tata 1MG was able to cut down 50% of the manpower previously required for manual verification.
  • Real-Time Processing: The entire pipeline was automated for real-time data extraction, accelerating the order delivery process.
  • Enhanced Data Security: With Google’s Cloud Data Loss Prevention API, user data accessibility was restricted to authorized teams, ensuring robust data protection and compliance.
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