International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Optical Character Recognition System in Healthcare and Hospital Management

Author(s) Pranit Patil, Shambhavi Kulkarni, Vaidehi Bhujbal, Varsha Chavan
Country India
Abstract The paper proposes a new Optical Character Recognition (OCR) model for medical documents. This model uses advanced machine learning and deep learning to improve the accuracy of extracting text from scanned medical images and various other documents. The goal is to make medical records more accessible and easier to manage electronically. The model can handle both English and multiple other languages, making it suitable for global healthcare use. It also explores adding Text-to-Speech functionality to convert the extracted text to audio, improving accessibility for users with visual impairments. By combining these features with insights from previous OCR and Text-to-Speech research, the model aims to streamline healthcare workflows and improve accessibility for everyone.
Keywords Optical Character Recognition, OCR, medical documents, machine learning, deep learning, accuracy, text extraction, scanned images, accessibility, electronic management, English, multiple languages, global healthcare, Text-to-Speech, audio conversion, visual impairments, healthcare workflows, accessibility improvements
Field Computer > Data / Information
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-24
Cite This Optical Character Recognition System in Healthcare and Hospital Management - Pranit Patil, Shambhavi Kulkarni, Vaidehi Bhujbal, Varsha Chavan - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18060
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.18060
Short DOI https://doi.org/gtsg7s
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E-ISSN 2582-2160
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