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Development of an Automated Laboratory Sample and Data Management System
  1. case
  2. Development of an Automated Laboratory Sample and Data Management System

Development of an Automated Laboratory Sample and Data Management System

shaligraminfotech.com
Medical

Challenges Faced by Diagnostic Laboratories in Sample Management and Data Security

A healthcare laboratory faces challenges in understanding and streamlining complex sample processing workflows, managing large volumes of sensitive data, ensuring regulatory compliance and data privacy, and presenting data insights graphically. These issues hinder operational efficiency, data security, and timely report delivery to healthcare providers and patients.

About the Client

A mid-sized healthcare research and diagnostics laboratory specializing in sample analysis and report generation.

Goals for Developing a Secure and User-Friendly Laboratory Data Management Platform

  • Design and implement an automated laboratory system that manages patient samples, analysis workflows, and report dissemination.
  • Enhance data security and regulatory compliance throughout the sample lifecycle.
  • Provide graphical data visualization features allowing parameters such as maximum, minimum, threshold limits, temperature, etc.
  • Create a user-friendly interface utilizing modern UI controls for efficient sample and data management.
  • Enable secure report access for healthcare professionals and automated report delivery to clients.
  • Ensure the system is scalable, robust, and adheres to industry security standards to handle complex data and regulatory requirements.

Core Functional Components of the Laboratory Data Management System

  • Patient profile management module for storing and retrieving patient and sample data.
  • Sample tracking and management system to oversee collection, processing, and analysis stages.
  • Analysis configuration settings for laboratory processes.
  • Workflow management to run and monitor analysis procedures and processes.
  • Spectroscopy and other analysis results visualization with graphical display features including parameters such as thresholds, temperature, and limits.
  • Report generation and secure access portal for authorized healthcare providers and clients.
  • Automated report dispatch capabilities via secure channels.

Preferred Technologies and Architectural Approaches for System Development

Desktop or web-based application built with WPF using C#
MS SQL database for data storage
Use of third-party UI controls (e.g., Telerik) for enhanced interface and graphical features

Necessary External System Integrations

  • Secure report delivery mechanisms to healthcare providers and clients
  • Data security and regulatory compliance modules or services
  • Spectroscopy analysis hardware interfaces, if applicable

Critical Non-Functional System Requirements

  • High security standards to safeguard sensitive patient data and ensure privacy compliance
  • Scalability to accommodate increasing sample and data volumes
  • System availability and performance ensuring prompt processing and report generation
  • Compliance with industry regulations and standards for data handling

Projected Business Benefits and Operational Efficiency Gains

The implementation of this laboratory management system is expected to automate sample workflows, improve data security, streamline report delivery, and facilitate graphical data analysis, leading to increased operational efficiency, compliance adherence, and enhanced client satisfaction. This could result in time savings and improved throughput comparable to previous outcomes, with the system meeting 100% of client requirements.

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