Depression & Diabetes Research
Seamless Integration for Global Research
Developed a platform linking hospitals in third-world countries with Emory University for role-specific research trial management.
The challenge was to create a sophisticated, yet user-friendly platform that could seamlessly connect multiple international research centers, handle diverse user roles, and manage large volumes of sensitive medical data. The system needed to accommodate users with varying levels of technical proficiency, support mobile usage, ensure data integrity and security, and provide advanced analytical capabilities.
Additionally, the platform had to be scalable, compliant with medical research standards, and capable of generating insights through custom algorithms.
Our Approach
We developed a comprehensive solution to address the unique needs of global medical research collaboration:
Discovery & Research
- Analyzed existing medical research platforms and their limitations in international settings.
- Studied workflows of various medical professionals to identify key improvement areas.
- Explored best practices in big data management and medical data privacy.
- Investigated compliance requirements for international medical trials.
Design Thinking
- Created user personas for different roles (caregivers, doctors, hospital admin staff.)
- Developed wireframes and prototypes focusing on intuitive data entry and analysis interfaces.
- Designed features to enhance data collection, analysis, and reporting processes.
- Incorporated feedback from medical professionals and researchers through multiple iterations.
Agile Development
- Implemented rapid prototyping and iteration cycles.
- Prioritized features based on research requirements and user feedback.
- Conducted continuous testing across various devices and user scenarios.
- Planned for scalability to accommodate growing data volumes and research expansion.
Technology Stack
- Frontend: HTML5 for a responsive and dynamic user interface.
- Backend: PHP for robust API development.
- Database: MySql for flexible data storage.
- Cloud: Linode for scalable and secure infrastructure.
Solution
Cygnis delivered a comprehensive, user-friendly cloud-based web application for the INDEPENDENT Study, addressing the essential needs of global medical research collaboration.
Intuitive Data Collection
User-friendly interfaces for various roles to capture patient information at different trial stages.
Big Data Management
Scalable backend system optimized for efficient data storage and report generation.
Subject Selection Algorithm
Custom-designed algorithm following industry standards for participant selection.
Role-based Access Control
Tiered structure of user roles and privileges ensuring adherence to proper workflows.
Data Analysis and Alerting
Advanced algorithms to identify patterns and generate alerts based on predefined thresholds.
AI-based Suggestion System
Custom-designed algorithm mimicking early-stage AI for symptom analysis and treatment suggestions.
Comprehensive Reporting
Customized queries on large datasets to generate visually appealing and informative graphs.
Multi-center Connectivity
Seamless integration of multiple research centers worldwide.
Data Security and Compliance
Robust measures to ensure data integrity, privacy, and compliance with international medical research standards.
By combining cutting-edge technology with a deep understanding of medical research needs, we delivered an innovative, feature-rich solution that's transforming how global studies on depression and diabetes are conducted.
The platform's success has already facilitated seamless data collection, analysis, and collaboration across multiple countries, setting new standards in the field of international medical research.
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