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Description
Deep 6 AI revolutionizes the patient enrollment process for clinical trials by changing how researchers pinpoint suitable candidates. By leveraging artificial intelligence and natural language processing, DEEP 6 AI efficiently sifts through both structured and unstructured patient information, enabling the identification of a larger pool of well-matched trial participants in mere minutes instead of the months typically required. The platform collaborates with leading health systems, pharmaceutical companies, and contract research organizations, positioning itself as an essential component of the clinical research ecosystem and significantly hastening the process for patients to access trials. In addition to expediting enrollment, Deep 6 AI’s innovative software evaluates structured data, like ICD-10 codes, alongside unstructured clinical information such as physician notes, pathology reports, and surgical documents that are often difficult to search through. This comprehensive analysis ensures that researchers can quickly find candidates who meet specific criteria, ultimately leading to faster delivery of groundbreaking treatments to those in need.
Description
The TCS ADD platform significantly enhances the speed at which pharmaceutical companies can bring products to market by streamlining the entire clinical research and development process, ultimately leading to more agile and secure clinical trials. By fostering digital ecosystems and simplifying the intricacies of data management, TCS ADD facilitates quicker access to innovative and effective medications for patients. This platform utilizes the TCS Decision FabricTM, an advanced cognitive artificial intelligence engine, alongside smart analytics and the Internet of Things, delivering exceptional business advantages to the pharmaceutical sector. It serves as a comprehensive, metadata-driven solution designed to uphold industry standards and sponsor requirements in clinical trials. Furthermore, this data science-oriented platform employs artificial intelligence and machine learning technologies to expedite decision-making, accelerate study initiation, and implement targeted interventions. By digitizing the entire supply chain management of clinical trials while prioritizing patient safety, this solution not only improves overall effectiveness but also enhances the patient experience throughout the trial process. Ultimately, TCS ADD represents a transformative approach to clinical trial management that aligns with the evolving needs of healthcare.
API Access
Has API
API Access
Has API
Integrations
Acquia Cloud Platform
Adenza
Adobe Advertising Cloud
Apigee
AppDynamics
Bosch IoT Suite
Cloudera
Commvault Cloud
Datadog
Google Cloud Platform
Integrations
Acquia Cloud Platform
Adenza
Adobe Advertising Cloud
Apigee
AppDynamics
Bosch IoT Suite
Cloudera
Commvault Cloud
Datadog
Google Cloud Platform
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
Deep 6 AI
Founded
2015
Country
United States
Website
deep6.ai/
Vendor Details
Company Name
Tata Consultancy Services
Founded
1968
Country
India
Website
www.tcs.com/tcs-add
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