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Digital Laboratory Workflow Optimization Platform
  1. case
  2. Digital Laboratory Workflow Optimization Platform

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Digital Laboratory Workflow Optimization Platform

intechhouse.com
Medical
Health & Fitness
Pharmaceuticals

Laboratory Workflow Inefficiencies and Data Silos

BioGen Healthcare's decentralized laboratory network faces challenges in managing complex diagnostic processes across multiple locations. Key issues include inefficient remote process monitoring, difficulty in collecting data from diverse diagnostic equipment, manual instrument reservations, reliance on paper-based operational logs, and a lack of real-time visibility into equipment availability. These inefficiencies lead to potential errors, reduced service delivery speed, and limited opportunities for data-driven improvements.

About the Client

BioGen Healthcare is a leading multinational healthcare company focused on providing advanced diagnostic and laboratory services to a global client base. They operate a network of geographically dispersed laboratories requiring a unified digital platform for enhanced efficiency and data management.

Project Goals

  • Implement a comprehensive digital platform to streamline laboratory workflows across all locations.
  • Enable remote monitoring of laboratory processes and equipment.
  • Automate instrument reservation processes to improve equipment utilization.
  • Digitize operational logs for improved data accuracy and accessibility.
  • Improve data collection and analysis capabilities for process optimization and product improvement.
  • Enhance overall laboratory efficiency and reduce operational costs.

Functional Requirements

  • Remote Process Monitoring Dashboard
  • Data Aggregation and Reporting from Diagnostic Equipment
  • Instrument Reservation System with Availability Tracking
  • Electronic Operational Log with Audit Trail
  • User Management and Access Control
  • Alerting and Notification System

Preferred Technologies

AWS Serverless Architecture
React.js
GraphQL
AWS AppSync
AWS Cognito
DynamoDB
Terraform
Gitlab pipelines
Node.js

Required Integrations

  • Diagnostic Equipment APIs
  • Existing Laboratory Information Systems (LIS)

Key Non-Functional Requirements

  • High Scalability to accommodate future growth
  • High Performance for real-time monitoring and data processing
  • Robust Security to protect sensitive patient data
  • High Availability and Reliability

Expected Business Impact

Implementing this digital platform is expected to result in significant benefits including improved operational efficiency (estimated 20-30% reduction in manual tasks), reduced errors, faster service delivery times, better equipment utilization, enhanced data insights for continuous improvement, and ultimately, improved patient outcomes and cost savings.

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