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Average Ratings 0 Ratings

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ease
features
design
support

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Description

AutoCruitment offers an innovative, web-based platform that directly connects with patients, efficiently recruiting, qualifying, and automatically directing the most suitable candidates to clinical trials. By integrating advanced global recruitment technologies, it streamlines the process of finding, screening, and referring patients without relying on the traditional hurdles of provider consent, access to medical records, or investigator site involvement. Utilizing sophisticated online behavior analysis and geotargeting across over 1,500 digital channels—including search engines, display ads, social media platforms, and mobile partnerships—it effectively reaches and pre-qualifies patients in real time through tailored online screening tools that adhere to specific inclusion and exclusion criteria. Research facilities benefit from a secure and intuitive portal that provides immediate referrals, customizable reporting options, and live-tracking dashboards. Additionally, dedicated teams for project management and site engagement collaboratively work to enhance randomization rates, ensuring a more efficient trial process overall. This comprehensive approach not only improves patient recruitment but also fosters stronger connections between research sites and potential trial participants.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

AutoCruitment

Founded

2014

Country

United States

Website

www.autocruitment.com

Vendor Details

Company Name

Deep Lens

Founded

2017

Country

United States

Website

www.deeplens.ai/deep-lens-healthcare-providers

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

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