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Digital Platform for Streamlined Saliva Sample Collection and Research Management

rubicotech.com

Medical

Health & Fitness

Information technology

Client's Challenges

Manual saliva sample collection processes caused inefficiencies, tracking errors, inconsistent sample quality, and administrative burdens. Fragmented workflows reduced researcher productivity and participant compliance, hindering scientific discovery.

About the Client

Global leader in salivary bioscience, providing non-invasive diagnostic tools for studying health, stress, and human behavior

Project Goals

Automate saliva sample collection workflows
Improve participant engagement and compliance
Ensure accurate real-time data tracking
Create scalable infrastructure for multi-study management
Accelerate research outcomes through digital efficiency

Core System Requirements

Barcode scanning for sample identification
Real-time data synchronization across devices
Automated participant reminders and guided collection
Secure cloud-based storage with role-based access
Interactive researcher dashboard with exportable reports

Technology Stack

Laravel

React Native

Vue.js

Bootstrap

System Integrations

Cloud storage APIs (AWS/GCP)
Barcode scanning SDKs
Multi-factor authentication services
Data analytics platforms

Non-Functional Requirements

Enterprise-grade data encryption
Horizontal scalability for global studies
99.9% system uptime SLA
Cross-platform mobile compatibility (iOS/Android)
HIPAA/GDPR compliance

Expected Business Impact

Reduces sample tracking errors by 80%, increases participant compliance through automated engagement tools, and accelerates research timelines by eliminating manual data entry. Scalable architecture supports exponential growth in study volume while maintaining data integrity.