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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は、ソフトウェア開発企業であり、8年間でスタートアップや企業向けに100以上のAIプロジェクトを実行し、成功してきました。80名以上のメンバーで構成されるプロフェッショナルチームはプロジェクトの全段階をカバーします。拠点はウクライナ、ポーランド、エストニア、日本、カナダ、アラブ首長国連邦にあります。

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