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Healthcare Data Management Portal Enhancement and Scalability

djangostars.com

Medical

Health & Fitness

Information technology

Challenges with Document Management and Data Flow

Billion To One experienced issues with the speed of document management, high error rates in manual processes, and slow communication between laboratories and their internal team. The reliance on handwritten data and manual status updates hindered operational efficiency and scalability.

About the Client

A US-based healthcare company providing genetic testing services, focusing on molecular-level disease detection and measurement. They work with multiple clinics across the US.

Project Goals

Automate communication between laboratories and internal teams.
Reduce manual document handling and human error.
Streamline internal medical data management.
Implement a scalable framework for collaboration with clinics.
Centralize data storage and processing.

System Functionality

Data ingestion from Salesforce and other sources.
User-friendly interface for searching, filtering, and managing data.
Automated testing status communication.
Secure data storage and access control.
Data flow diagram and visualization.
Customer journey mapping.

Technology Stack

Django

REST APIs

Database (e.g., PostgreSQL)

Frontend Framework (e.g., React, Angular, Vue.js)

External System Integrations

Salesforce
Potentially other lab information systems (LIS)

Non-Functional Requirements

High security (HIPAA compliance)
Scalability to support growing data volume and user base
Performance for rapid data processing
Reliability and uptime

Business Impact

The project will accelerate Billion To One's digital transformation, improve operational efficiency by reducing manual errors and speeding up data processing, enable scalability for future growth, and facilitate better collaboration with clinics, ultimately supporting increased investment and customer service.