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Clinical Trial Management System - SaaS Transformation
  1. case
  2. Clinical Trial Management System - SaaS Transformation

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Clinical Trial Management System - SaaS Transformation

softwaremind.com
Medical
Biotech and Life Sciences
Pharmaceutical

Current System Challenges

The client's existing system is a monolithic application hindering agility, scalability, and time-to-market for new services. Knowledge is siloed within consultants, leading to inconsistencies and difficulty in scaling expertise. High operational costs and a slow release cycle are impacting their competitive advantage.

About the Client

A global company providing comprehensive administrative services for clinical trials across the pharmaceutical, biotechnology, and medical device industries.

Project Goals

  • Transform the existing service into a scalable and cost-effective SaaS model.
  • Capture and codify consultant knowledge within the software platform.
  • Introduce Machine Learning capabilities to enhance service offerings.
  • Decompose the monolithic system into a microservices architecture.
  • Implement Agile and DevOps practices for faster release cycles and improved quality.

System Functionality

  • Clinical Trial Data Management
  • Regulatory Document Management
  • Automated Workflow Engine
  • Real-time Reporting and Analytics
  • Machine Learning-powered Insights
  • User Role and Access Control
  • Audit Trail and Compliance Reporting
  • Integration with external clinical trial databases

Technology Stack

.Net
Azure Native Functions
Dapper
Docker
Javascript
JQuery
Kubernetes
MongoDB
MVC
MySQL
RabbitMQ
React
Selenium WebDriver
Typescript

External Integrations

  • External Clinical Trial Databases
  • Regulatory Submission Portals
  • Third-party Data Providers

Non-Functional Requirements

  • High Scalability and Availability
  • Robust Security and Data Privacy (HIPAA compliance)
  • Automated Continuous Delivery Pipeline (CI/CD)
  • Test-Driven Development (TDD)
  • One-click Deployments
  • Performance Optimization for large datasets
  • Comprehensive Monitoring and Logging

Expected Business Outcomes

This project is expected to significantly shorten time-to-market for new services, improve system scalability to handle increasing demand, and lower overall operational costs. The transformation to a SaaS model will strengthen the client’s market-leading position and create a foundation for continuous innovation and future growth.

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