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Development of Real-time Clinical Trial Data Platform

darly solutions

Medical

Challenge

The client faces challenges in managing and analyzing large volumes of real-time clinical trial data generated from connected devices like insulin pumps and CGM sensors. Existing systems lack the scalability, user-friendly interface, and real-time visualization capabilities required to efficiently support researchers and ensure data integrity while adhering to strict regulatory compliance.

About the Client

A leading biomedical technology company focused on developing innovative solutions for clinical trials using wearable and biomedical devices.

Project Objectives

Develop and launch a web-based clinical data platform to enhance researcher productivity by 21%.
Improve clinical trial data quality metrics by at least 10%.
Achieve an 85% user satisfaction rate among early platform adopters.
Streamline the design and development process using pre-built UI components.
Ensure compliance with all relevant privacy and security regulations (e.g., HIPAA).

Functional Requirements

Real-time data streaming and visualization.
Interactive dashboards with trend analysis and data comparison.
Event-driven notifications for new data entries and errors.
Secure access control and data encryption.
Data search and filtering capabilities.

Preferred Technologies

React

WebSockets

RTK Query

Material UI

API Integrations

Required Integrations

Existing Backend Systems (via APIs)

Non-Functional Requirements

Scalability to support multiple simultaneous clinical trials.
High performance with minimal data latency.
Robust security and access control mechanisms.
Regulatory compliance (e.g., HIPAA).

Expected Business Impact

The successful implementation of this platform is expected to significantly improve researcher productivity, enhance data quality, accelerate clinical trial timelines, and reduce operational costs associated with data management. The real-time data capabilities will enable faster decision-making and improved patient outcomes.