Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
VIPER streamlines the process of screening by automating remote patient identification right at the diagnosis stage and ensuring qualified enrollment. By leveraging artificial intelligence, VIPER efficiently matches patients to precision trials during a critical enrollment period by utilizing lab-agnostic genomic data, electronic medical records (EMR), and pathology information tailored to both the patient and the research requirements. The system employs a specialized matching engine that searches for the most suitable clinical trials corresponding to a patient's specific diagnosis at the moment they receive it. Additionally, through seamless workflow integration, VIPER provides real-time alerts regarding a patient’s eligibility for available trials, ensuring the entire care team is informed during this narrow enrollment timeframe. Furthermore, VIPER features interactive dashboards that offer extensive data mining capabilities, allowing for the aggregation of site and study-level patient data to effectively meet study key performance indicators (KPIs). This comprehensive approach not only enhances trial recruitment efficiency but also supports researchers in achieving their goals more effectively.
Description
TrialPoint™ electronic data capture (EDC) is highly adaptable and user-friendly, earning the approval of coordinators everywhere. Our skilled data managers specialize in transforming clinical protocols into accessible metadata dictionaries, ensuring that TrialPoint™ is tailored to your needs rather than hindering your processes. The platform is capable of accommodating any randomization string, media uploads, or coding dictionaries, and it has the functionality to obscure treatment assignments from users. To enhance timely data collection, the system proactively determines visit windows and dispatches alerts and reminders, helping to keep the entire team aligned and on track. In the current landscape, incorporating patient-reported health outcomes and quality of life questionnaires is common in clinical trials, often leading to protocol adherence challenges. Explore TrialPoint's electronic patient-reported outcomes (ePRO) module, which can be customized to accommodate any quality of life questionnaire or patient diary, providing a seamless experience for participants. Ultimately, this flexibility not only facilitates compliance but also enhances the overall quality of the data collected in clinical trials.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Deep Lens
Founded
2017
Country
United States
Website
www.deeplens.ai/deep-lens-healthcare-providers
Vendor Details
Company Name
Databean
Founded
2007
Country
United States
Website
databean.com/trialpoint/
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
No
Document Management
No
Electronic Data Capture
No
Enrollment Management
No
HIPAA Compliant
No
Monitoring
No
Patient Database
No
Recruiting Management
No
Scheduling
No
Study Planning
No
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
No
Document Management
No
Electronic Data Capture
No
Enrollment Management
No
HIPAA Compliant
No
Monitoring
Yes
Patient Database
No
Recruiting Management
No
Scheduling
No
Study Planning
No