CASE STUDY
AI Workflow Transformation: The Next Generation of Medical Records
Leveraged AI and LangChain to automate medical record classification and indexing, dramatically boosting efficiency and data retrieval accuracy
18 SEP, 2025
Challenge
A service partner and SaaS builder firm faced significant challenges in efficiently analyzing and classifying patient medical records. The manual processes were time-consuming, prone to errors, and made it difficult to quickly locate specific information within the records. They needed a solution to:
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Classify/index medical record sections by Date of Service (DOS), Physician/Provider, and Document Type
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Enable keyword searches within the records
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Flag duplicate or poor-quality pages
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Facilitate easy navigation and data validation
TechGrit Solution
TechGrit partnered with the client to develop an AI-powered Medical Records Analysis Tool. The solution leveraged cutting-edge technologies to automate and streamline the process, including:​
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OCR (Optical Character Recognition) for text extraction from scanned documents
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A classification model to categorize document types
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LangChain AI to extract key information like DOS and provider details
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A user-friendly interface built with ReactJS and FastAPI
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A secure database (Postgres) for storing extracted and classified information
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An AI Chatbot
The Journey
The project was executed in phases, beginning with a thorough discovery phase to define requirements and plan the implementation. The key steps in the approach included:
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Requirements Analysis: Gathering detailed specifications through interviews, workshops, and JAM sessions
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Data Analysis & Compliance: Analyzing patient records, identifying critical data attributes, and ensuring compliance with regulations
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System Design: Defining the technology stack, software architecture, and model training strategy
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Planning: Creating a work backlog, estimating tasks, prioritizing features, and developing test and deployment strategies
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Development: Implementation of the solution
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Testing and Quality Assurance: Rigorous testing of the systems
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Deployment
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Training and Documentation
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TechGrit's agile methodology ensured a flexible and collaborative approach, with continuous communication and feedback from the client
Impact: Delivering a Functional MVP in Under 30 Days
The AI-powered Medical Records Analysis Tool delivered significant improvements for the client:​
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Increased Efficiency: Automated classification and indexing of medical records, reducing manual effort and saving time
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Improved Accuracy: AI-powered analysis minimized errors and ensured more reliable data
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Faster Information Retrieval: Keyword search functionality enabled users to quickly locate specific information
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Enhanced Data Quality: Flagging duplicate and poor-quality pages improved the overall quality of the medical records
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Better Decision-Making: Easy access to accurate and organized information supported more informed decision-making
Tech Stack
Frontend:
Backend:
AI Tools:
AI as a Force Multiplier in Construction Technology
The successful development and implementation of an AI-powered Medical Records Analysis Tool transformed the client's document management processes, improving efficiency, accuracy, and data accessibility. The project demonstrated the power of AI to address complex challenges in the healthcare industry and deliver tangible business value.