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April 21, 2026Open Access

Medical Prescription Readability Checker using Deep Learning

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Authors

KPKeerthana A PJKJanaki Kandasamy

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Overview

Development of a deep learning system to enhance readability of handwritten prescriptions, suggesting improved patient safety.

Key Points

  • This work aims to create a system that improves the readability of handwritten medical prescriptions to minimize errors in healthcare.
  • Integrated image preprocessing techniques for noise reduction and feature extraction
  • Applied Optical Character Recognition (OCR) with CNN and LSTM for text extraction
  • Utilized Named Entity Recognition (NER) and fuzzy matching for validation of extracted information
  • The system significantly enhances the accuracy of text extraction from handwritten prescriptions
  • Reduction in risks associated with illegible prescriptions
  • Facilitates efficient digitization and accessibility of healthcare records

Cite This Study

P et al. (2026) studied this question.

synapsesocial.com/papers/69e7143fcb99343efc98d9dchttps://doi.org/10.5281/zenodo.19651613
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