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Centralized Patient Recruitment and Data Management System for Clinical Trials

sigma.software

Medical

Pharmaceutical

Research & Development

Challenges in Patient Recruitment for Clinical Trials

Fragmented patient data across clinics, manual recruitment processes, and lack of centralized analysis tools were causing delays in clinical trial enrollment and reducing operational efficiency for AstraZeneca's research teams.

About the Client

Global pharmaceutical leader conducting clinical trials for chronic disease treatments

Project Goals for Enhanced Patient Recruitment System

Centralize COPD patient data management across European clinics
Accelerate clinical trial recruitment processes
Implement secure, clinic-specific data isolation
Enable real-time data synchronization across global clinics
Provide intuitive analytics interfaces for patient matching

Core System Functionalities and Key Features

Role-based user authentication with OTP technology
Clinic-specific data isolation with centralized access
Real-time patient data synchronization (SQL Server)
Advanced patient matching algorithms
Audit trail with full system state history
Legacy data import capabilities
Interactive analytics dashboard

Technology Stack Requirements

3-tier architecture (presentation, business logic, data layers)

HTTPS protocol with secure authentication

SQL Server for real-time synchronization

Web application framework with browser compatibility

System Integration Requirements

Legacy patient databases
One-time password (OTP) authentication systems
Clinic electronic health record (EHR) systems

Non-Functional Requirements

High-security standards for medical data protection
Scalable architecture for global clinic expansion
High-performance real-time data processing
Comprehensive audit logging and traceability
User-friendly interface for clinical personnel

Expected Business Impact of Enhanced Patient Recruitment System

Enables faster clinical trial enrollment through centralized patient matching, improves research efficiency across 4 European countries, reduces manual data management efforts by 60%, and enhances data accuracy for regulatory compliance in pharmaceutical research.