Doctor Prescription analyzer

Authors: Prof. Shaikh Shorab, Miss. Gayatri Vijay Dale, Miss. Pragati Bapusaheb Dabhade, Miss. Apeksha Yogesh Gadakh, Miss. Ashwini Machindra Pawar

Country: India

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Abstract: In this innovative application, we present a Machine Learning-based Doctor Receipt Analyzer system empowered by Optical Character Recognition (OCR) technology. The system represents a transformative leap in the processing of medical receipts by seamlessly integrating advanced OCR algorithms. Capable of extracting critical information from scanned or photographed receipts, the solution automates the traditionally manual task of deciphering handwritten or printed text, enhancing both accuracy and efficiency. Tailored for effortless integration into healthcare administration, the system intelligently decodes essential details such as patient names, dates, services provided, and associated costs. The synergy of machine learning and OCR not only streamlines billing processes for healthcare professionals but also promises to elevate the overall efficiency of medical documentation and financial management, marking a significant advancement in healthcare technology.

Keywords: OCR, receipt analyzer, Machine Learning, NLP.

Paper Id: 230451

Published On: 2024-01-23

Published In: Volume 12, Issue 1, January-February 2024

Cite This: Doctor Prescription analyzer - Prof. Shaikh Shorab, Miss. Gayatri Vijay Dale, Miss. Pragati Bapusaheb Dabhade, Miss. Apeksha Yogesh Gadakh, Miss. Ashwini Machindra Pawar - IJIRMPS Volume 12, Issue 1, January-February 2024.

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