AI-driven Medical Document Digitization
#ML/AI, healthcare
CHALLENGE
In the diverse landscape of medical practices across different cities in Japan, each with its unique prescription formats and documentation practices, the manual digitization of handwritten medical documents posed a significant challenge. The variations in document layouts, indentation, and fields across different regions made implementing a uniform digitization process difficult.
CLIENT
Japanese company providing products and services in the Healthcare domain.
TECHNOLOGY
Frontend: React, Redux
Backend: Python (Django), Django REST Framework
Artificial Intelligence (AI): Tesseract (OCR), Natural Language Processing (spaCy, NLTK), TensorFlow
Infrastructure: Docker, Git
Database: PostgreSQL
TEAM
Dedicated team with expertise in front-end and back-end technologies and deep knowledge of machine learning.
INDUSTRY
Healthcare
SOLUTION
The project aimed to develop a proof of concept using artificial intelligence for recognizing and digitizing handwritten medical documents, including doctors' prescriptions and visit cards. The concept needed to demonstrate adaptability to varied formats used in different cities, accounting for distinct indentation styles, field placements, and other regional peculiarities.
IMPACT
The developed Proof of Concept successfully addressed the challenge of diverse medical documentation practices in various Japanese cities. It demonstrated the feasibility of automating the process of converting handwritten medical records into electronic formats, providing a perspective on a standardized and efficient approach for medical professionals. This lays the foundation for further development and implementation of a large-scale solution.
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Muteki Group is a full-cycle software development company that has successfully completed 100+ AI projects for startups and enterprises since 2015. Our 80+ member team covers everything from the discovery phase to support. We are located in Ukraine, Poland, Estonia, Japan, Canada, UAE, and the USA.
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