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What is EvidentIQ?

EvidentIQ's eCOA simplifies the process of gathering real-time data directly from patients via an intuitive interface, which not only improves patient evaluations but also elevates the quality of data collected. Clients can opt for a comprehensive eCOA package or customize their selection by combining different components to meet specific requirements. By arranging a demonstration with our expert team, you can learn how to optimize the return on investment for your research initiatives. The eCOA platform integrates data science services with advanced technology, offering a flexible solution. It functions independently of specific eClinical technologies such as EDC systems, while also providing smooth integration with current eClinical software environments. This system is designed to efficiently collect a diverse array of outcome data from patients, healthcare professionals, or observers, ensuring compliance and improving the data collection experience overall. With its adaptable nature, organizations can tailor the eCOA framework for various clinical trial situations, thereby significantly enhancing their research capabilities and outcomes. Such customization not only meets immediate needs but also prepares teams for future challenges in clinical research.

What is Alife?

Alife presents an innovative platform powered by artificial intelligence that transforms clinic workflows, ultimately improving patient outcomes, increasing operational efficiency, and enhancing the overall experience for patients. Their Alife Assist platform is designed to be adaptable, enabling all clinic personnel to make informed, data-based decisions. Seamlessly integrating with existing electronic medical record systems, this AI software converts raw data into actionable insights in real time. It specifically focuses on optimizing the retrieval of mature oocytes during ovarian stimulation cycles. The comprehensive suite of products is meticulously designed to empower each clinic team member effectively. In addition to this, it standardizes the embryo grading process, which contributes to improved quality control and thorough documentation. By facilitating real-time tracking of essential performance metrics, it notably enhances operational efficiency while conserving critical resources. Studies have shown that interpretable machine learning models can achieve comparable results to embryologists when selecting the best embryos for in vitro fertilization (IVF) procedures. Moreover, research indicates that the AI system may optimize the timing of ovulation trigger injections, potentially resulting in superior outcomes for IVF patients. As more clinics embrace this cutting-edge technology, they may uncover new methods to enhance their workflows and elevate the standard of patient care. The integration of such advanced systems could signify a significant shift in how reproductive health services are delivered, paving the way for future innovations in the field.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EvidentIQ

Company Location

Germany

Company Website

www.evidentiq.com

Company Facts

Organization Name

Alife

Date Founded

2020

Company Location

United States

Company Website

www.alifehealth.com

Categories and 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

Electronic Data Capture

Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management

Categories and Features

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