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Description
REDCap Cloud serves as a comprehensive data-science platform that empowers organizations to gather, integrate, standardize, analyze, and disseminate clinical and research data that meets real-world and regulatory standards, all within a cohesive, standards-driven system. This platform facilitates the complete lifecycle of randomized clinical trials and real-world evidence research by providing diverse modules tailored for intricate trial design and execution, a centralized clinical data hub that integrates both eCRF and non-eCRF sources, AI/ML capabilities for real-time operational and data insights, and seamless connectivity to eSource and EHR systems. Additionally, it enhances patient engagement through tools like ePRO/eCOA and wearable devices, accommodating both hybrid and decentralized trial models. The analytics features include options for synthetic control arms and digital twins, ensuring adherence to global security compliance standards. Ultimately, REDCap Cloud is designed to mitigate data silos, eliminate vendor fragmentation, facilitate bidirectional data flows, and offer sponsors, CROs, and health systems comprehensive visibility and oversight regarding site performance, study data integrity, and regulatory preparedness. By streamlining these processes, organizations can achieve greater efficiency and effectiveness in their research endeavors.
Description
Progressing artificial intelligence to remove the need for trial and error in healthcare, our digital twins facilitate swift and assured clinical trials. We focus on areas such as neuroscience, immunology, and metabolic diseases, among others. TwinRCTs expedite full enrollment by requiring fewer participants to provide equivalent statistical power compared to conventional trial methodologies. This approach significantly reduces the time needed for late-stage study enrollment. Additionally, TwinRCTs enhance the ability to detect treatment effects in early-stage studies by bolstering statistical power without necessitating an increase in participant numbers. They enable researchers to make informed decisions based on initial study outcomes and help attract more participants to trials. By utilizing smaller control groups, TwinRCTs also improve participants' odds of receiving the experimental treatment. Our commitment to positioning clinical trials with digital twins for regulatory success is unwavering. Unlearn is at the forefront of transforming the medical field through the innovative application of artificial intelligence, creating and implementing novel generative models that are trained on vast datasets derived from previous patient studies. This evolution in methodology not only streamlines research but also enhances the overall effectiveness of clinical trials.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
REDCap Cloud
Founded
2016
Country
United States
Website
www.redcapcloud.com
Vendor Details
Company Name
Unlearn
Country
United States
Website
www.unlearn.ai/
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning