From Pixels to Prescriptions: Engineering OCR Pipelines for Medical Report Simplification Using MongoDB
The article details the development of an OCR pipeline called ocr.py for MediSimplify, a system that converts complex medical reports into patient-friendly language. The pipeline intelligently handles diverse document types by first attempting to extract embedded text from PDFs and resorting to OCR only when necessary, improving speed and accuracy. It includes robust error handling, whitespace normalization, and optimal DPI rendering to ensure reliable text extraction in real-world conditions. The processed text is then simplified using an AI model and stored in MongoDB.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3901651) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Kotha Deepak Reddy Posted on Apr 28 From Pixels to Prescriptions: Engineering OCR Pipelines for Medical Report Simplification Using MongoDB #ai #ocr #medical #mongodb Team Members @k_sidharthareddy_15 | @k-deepak-544 | @nupur_madhrey_07 | @avika_kashyap | @dheerajkumar08 | @chanda_rajkumar Introduction So here's the thing — when We started working on MediSimplify, a project that takes medical reports and converts them into patient-friendly language, We thought the hard part would be…
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