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Description
The Datimbi Platform is exceptionally designed for scenarios that require the gathering of extensive and intricately structured data from various contributors or sources, featuring integrated quality assurance measures and the ability to oversee and manage quality and collection processes in real time, along with comprehensive reporting and analysis capabilities. Furthermore, rapid setup is a key feature of our platform. It is tailored for applications like electronic Case Report Forms (eCRFs) in Clinical Trial Management, Social Case Management, econometric event study evaluations, or virtually any data collection and processing workflow that demands efficiency. If your requirements align with these use cases, you can often achieve full deployment and operational status on the platform within just one week! Setting up roles, transitioning workflow statuses, designing complex data collection forms, defining processing rules, managing lists of values, tracking changes, and creating custom email notifications can all be accomplished through an intuitive web interface. Additionally, these functionalities can be administered by your own trained personnel or through a service provided by Datimbi, ensuring flexibility and support for your organization's needs. This combination of speed and ease of use makes the Datimbi Platform a valuable asset for any data-intensive project.
Description
Science 37 is a pioneering clinical research organization that focuses on decentralized clinical trials through its innovative Metasite model, which eliminates the need for physical proximity, allowing patients to engage in studies from virtually anywhere. This method significantly broadens accessibility, reaching over 90% of individuals who might be excluded from conventional site-based research, and harnesses the recruiting capabilities equivalent to 20 sites in one location, thereby offering patients the flexibility they desire. The Metasite operates on a proprietary platform that not only streamlines study orchestration but also facilitates the workflow for both patients and research staff, all while efficiently capturing study data without manual reentry. By centralizing personnel, processes, and technologies, this approach guarantees built-in protocol compliance, which leads to enhanced compliance rates and the collection of high-quality data. Science 37's dedicated in-house medical teams, telemedicine investigators, and mobile nursing professionals are well-versed in the conduct of remote trials spanning various therapeutic areas, thus ensuring comprehensive outreach. This commitment to innovative trial methodologies positions Science 37 at the forefront of transforming the landscape of clinical research.
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
Datimbi
Founded
2014
Country
Switzerland
Website
www.datimbi.com/the-datimbi-platform/
Vendor Details
Company Name
Science 37
Founded
2014
Country
United States
Website
www.science37.com
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