Empowering Clinical Trials
Through Advanced Data Analytics
Leverage GreenM expertise in data engineering, AI, and analytics to streamline your clinical trials and gain actionable insights
Empowering Clinical Trials
Through Advanced Data Analytics
Leverage GreenM expertise in data engineering, AI, and analytics to streamline your clinical trials and gain actionable insights
How technology is reshaping clinical trials
Remote monitoring and telemedicine
Enhance patient engagement and data collection with telemedicine and remote monitoring solutions
Big data and predictive analytics
Unlock insights from clinical trial data with advanced analytics, optimizing trial design and accelerating drug development
AI and Machine Learning
Automate data analysis, identify trends, and drive efficiencies across the clinical trial lifecycle with AI-powered solutions
Clinical trials tech
solutions we offer
Data engineering for seamless operations
- Scalable Data Pipelines: Handle large volumes of clinical trial data efficiently
- Data Quality Assurance: Ensure accuracy, consistency, and compliance
- Secure Data Management: Safeguard patient information and maintain compliance
- Efficient Data Integration: Seamlessly integrate data from multiple sources
BI and data analytics for informed decision-making
- Predictive Analytics: Anticipate trends and optimize trial protocols
- Real-Time Tracking: Monitor trial progress and adapt strategies in real-time
- Risk Mitigation: Identify and mitigate potential risks for patient safety
- Personalized Reporting: Customize reports to meet stakeholder needs
AI FOR ENHANCED EFFICIENCY AND INNOVATION
- Automated Workflow: Streamline tasks and improve operational efficiency
- Natural Language Processing (NLP): Extract insights from unstructured data sources
- Predictive Modeling: Forecast outcomes and optimize resource allocation
- Continuous Improvement: Refine protocols and enhance patient engagement
Case study
STREAMLINING CLINICAL TRIALS DATA: FROM INTERNAL SYSTEM TO SPONSOR PLATFORMS
Client
overview
A leading clinical trial company in the United States researching the safety and effectiveness of study drugs.
Main challenges
- Inefficiencies due to manual double data entry
- Increased workload and risk of human errors
- Delayed data processing and decision-making
What we did
- Developed a clinical study data synchronization portal using Python and AWS.
- Automated the transfer of patient visit data between systems.
- Enabled configuration and mapping of necessary data for seamless data transfer.
- Implemented user authentication, real-time data reflection, and comprehensive study overviews.
- Ensured data integrity by preserving historical data during synchronization.
- Provided status tracking for data export progress.
Results
- Validated data migrated within 30 minutes
- Significant reduction in manual workload and errors
- Accelerated clinical research timelines and improved productivity
Ready to revolutionize your clinical trials?
Contact us today and discover how our tailored data solutions can benefit your business