About R.grid
R.grid is a clinical trial back-office software from Research Grid that automates processes to accelerate timelines and reduce administrative delays. It provides Inclusive TrialEngine, Contact Us support, and a Carbon Reduction Plan for 2024 alongside a Modern Slavery Statement for 2025, so organizations can ensure compliance and efficiency. R.grid also includes Inclusive Solutions to cater to diverse participant needs. This integration of features allows clinical trial sponsors to achieve faster results and improve success rates while maintaining regulatory standards. Key capabilities: Inclusive TrialEngine Contact Us Carbon Reduction Plan 2024 Modern Slavery Statement 2025 Inclusive Solutions Best for: clinical trial sponsors that need to manage administrative processes efficiently.
R.grid by Research Grid is an innovative clinical trial management software designed to streamline the intricate processes associated with clinical research. Its primary purpose is to facilitate efficient trial planning, execution, and data analysis by offering a robust suite of tools tailored to the needs of research organizations. The software boasts key features such as centralized trial management, real-time data analytics, and comprehensive reporting capabilities, making it an essential tool for pharmaceutical companies, biotech firms, contract research organizations (CROs), and academic research institutions. The user interface of R.grid is modern, clean, and designed with the end-user in mind. Navigation is intuitive, with a well-organized dashboard that presents critical information and actionable insights at a glance. Unique design elements, such as customizable widgets and an interactive timeline view, allow users to quickly access patient data, trial milestones, and compliance updates. The interface's responsive design ensures that it remains user-friendly across various devices, which enhances productivity by reducing the learning curve associated with complex software systems. Functionality and features are where R.grid truly shines.
Pros & Cons
- The biggest advantage is access to a massive network
- Automating the process of finding and communicating with stakeholders and participants
- Focus on Diversity and Representation
- Improved Patient Engagement
- it targets early trial preparationse
- Managing data on such a large patient population raises significant privacy concerns
- The size of the network doesn't necessarily guarantee the quality of the data
Features
Key features
The core of Research Grid's offering is its AI engine, which automates various tasks across the clinical trial lifecycle, from pre-trial planning to post-trial analysis. This is their primary differentiator.
The combination of Inclusive and TrialEngine provides a comprehensive platform that addresses both patient recruitment/engagement (pre-trial) and trial management/analysis (during and post-trial).
By automating manual processes and connecting different trial stages, Research Grid aims to significantly reduce the overall time required to complete clinical trials.
The platform's focus on patient engagement and reduced administrative errors contributes to higher trial success rates.
Inclusive provides access to a vast network of potential trial participants from diverse communities, addressing a key challenge in recruitment.
TrialEngine simplifies and accelerates various trial management tasks, such as protocol development, document creation, and data extraction.
Additional features
Access to a large patient network (>400 million patients, >92,000 communities).
Tools to connect with and engage diverse communities.
Automated processes for patient identification and communication.
Platform for managing patient interactions and data.
Handles administration, data, and reporting workflows.
Automates tasks like protocol development, study document creation, and data extraction.
Streamlines manual workflows for increased efficiency.
Tools for managing and analyzing trial data.
Automated reporting capabilities for tracking trial progress and outcomes.
Covers the entire clinical trial lifecycle.
Inclusive and TrialEngine work together seamlessly.
Automates manual tasks, freeing up researchers' time.
Automation reduces the risk of human error in data entry and management.
Accelerated trial timelines contribute to quicker drug development and market entry.
Pricing
Countries & Languages
Available in
Interface languages
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About R.grid
R.grid is a clinical trial back-office software from Research Grid that automates processes to accelerate timelines and reduce administrative delays. It provides Inclusive TrialEngine, Contact Us support, and a Carbon Reduction Plan for 2024 alongside a Modern Slavery Statement for 2025, so organizations can ensure compliance and efficiency. R.grid also includes Inclusive Solutions to cater to diverse participant needs. This integration of features allows clinical trial sponsors to achieve faster results and improve success rates while maintaining regulatory standards. Key capabilities: Inclusive TrialEngine Contact Us Carbon Reduction Plan 2024 Modern Slavery Statement 2025 Inclusive Solutions Best for: clinical trial sponsors that need to manage administrative processes efficiently.
R.grid Details
R.grid's In-App Market Place
Does R.grid have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), CHF (CHF), JPY (¥), CNY (¥), INR (₹), BRL (R$), SEK (kr), DKK (kr), NOK (kr), KRW (₩), MXN (Mex$)
Pros & Cons
- The biggest advantage is access to a massive network
- Automating the process of finding and communicating with stakeholders and participants
- Focus on Diversity and Representation
- Improved Patient Engagement
- it targets early trial preparationse
- Managing data on such a large patient population raises significant privacy concerns
- The size of the network doesn't necessarily guarantee the quality of the data
R.grid's Support Options
Email Address
community@rgrid.techContact
+44 20 3576 2539R.grid's Alternatives
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