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Development of a Centralized Patient Recruitment and Data Management Platform for Clinical Trials
  1. case
  2. Development of a Centralized Patient Recruitment and Data Management Platform for Clinical Trials

Development of a Centralized Patient Recruitment and Data Management Platform for Clinical Trials

sigma.software
Medical
Research & Development

Identifying Challenges in Patient Data Management and Recruitment for Clinical Studies

The client faces difficulties in centralizing patient data, ensuring secure access across multiple clinics, and efficiently identifying suitable candidates for clinical trials. Current processes are fragmented, time-consuming, and lack real-time synchronization, impacting study timelines and operational efficiency.

About the Client

A large pharmaceutical or clinical research organization managing multiple clinical trials across different regions, requiring efficient patient data handling and recruitment processes.

Goals for Developing an Advanced Patient Recruitment and Data System

  • Create a secure, centralized web-based platform for managing patient data across multiple clinics.
  • Implement real-time data synchronization to ensure up-to-date patient information.
  • Enhance usability through intuitive user interfaces tailored for clinic staff.
  • Enable fast, reliable querying and analysis tools for identifying eligible patients for clinical trials.
  • Ensure compliance with data security standards, including secure access and audit logging.
  • Facilitate data import from legacy and new databases to support seamless transitions.

Core Functional Capabilities for the Patient Recruitment System

  • Web application accessible via browsers built on a three-tier architecture (presentation, business logic, data layers).
  • Secure user authentication with one-time password (OTP) and HTTPS protocol for data security.
  • Clinic-specific data isolation ensuring privacy and data segregation.
  • Comprehensive activity tracking and audit logs for all user operations.
  • Version control and historical data storage to allow rollback and audit trails.
  • High-performance, real-time data synchronization using SQL Server or equivalent database technology.
  • Analysis interface providing fast lookup, filtering, and patient eligibility detection tools.
  • Data import functionality supporting integration with legacy and current patient databases.

Technological Foundations and Architecture Preferences

HTTPS protocol for secure data transmission
Three-tier application architecture (presentation, logic, data layers)
SQL Server or equivalent relational database for high-performance real-time synchronization
Secure user authentication mechanisms including OTP

External Systems and Data Source Integrations

  • Legacy and current patient database systems for data import and synchronization
  • Secure authentication providers for OTP support

Critical Non-Functional System Criteria

  • System must support multi-tenant data segregation for multiple clinics
  • Ensure high performance with real-time data synchronization to handle concurrent access
  • Data security complying with healthcare privacy standards (e.g., GDPR, HIPAA)
  • System reliability and availability to support 24/7 clinic operations
  • Audit trail and version control for full traceability of all data and activities

Anticipated Business Benefits and System Impact

The implementation of the centralized patient recruitment and data management platform is expected to accelerate clinical study timelines, improve data accuracy and security, and enhance operational efficiency across multiple clinics. Reliable real-time data synchronization and user-friendly interfaces will enable quicker identification of suitable candidates, ultimately reducing time-to-market for new therapies and increasing research productivity.

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