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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

Vendor
Research Grid
Year Launched
2020
Location
34b York Way London, England N1 9AB
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries.
Languages
English, Spanish, French, German, Italian, Dutch
Users
Clinical Researchers, Data Analysts, Project Managers, Regulatory Affairs Specialists, Clinical Data Managers
Industries Served
Healthcare, Pharmaceutical, Biotechnology
Tags
Clinical Trial Management, R.grid

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

Free trial
Free version
Request a quote
Promo Offer

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

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