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What is Imagia EVIDENS?

EVIDENS is a cutting-edge AI platform designed to streamline the identification of digital cohorts, enhancing research capabilities and fostering collaboration while allowing insights to be shared across vast hospital data sets. Users can quickly annotate and transform data into formats compatible with AI, enabling them to filter populations based on diverse clinical outcomes or demographic characteristics efficiently. The platform supports extensive keyword filtering, empowering users to train AI models for precise searches. In addition, intelligent AI tools assist users in exploring and setting criteria for identifying cohorts. The automation of the analysis process through AI model training allows for the rapid categorization of data into well-defined groups. EVIDENS produces AI-ready cohorts that facilitate the testing of clinical hypotheses in various research studies. Users can easily track the progress and tasks of all their projects and collaborators, as well as engage with activities related to their specific research interests. Furthermore, the platform includes collaborative tools that encourage simultaneous efforts in the creation, training, and validation of AI models, thereby nurturing a thriving research environment. Overall, EVIDENS not only simplifies the research process but also enhances the effectiveness and efficiency of all participants involved, making it a pivotal tool in contemporary research settings. By leveraging such advanced capabilities, researchers can unlock new possibilities in understanding complex medical data.

What is Flax?

Flax presents a cutting-edge AI solution tailored for skilled nursing facilities, designed to turn burdensome paperwork into a revenue-generating asset by optimizing vital processes from referral handling to appeals management. By automating the often tedious documentation tasks, Flax empowers nursing staff to prioritize essential functions like admissions, intake, and billing, thereby boosting overall operational efficiency. During the admissions stage, Flax swiftly assesses referrals against specific facility guidelines, enabling teams to quickly spot ideal candidates while filtering out those who fall short of financial or clinical benchmarks. This innovative system adeptly pulls data from multiple sources, emphasizes important patient information, and allows admissions staff to respond to referrals in a matter of minutes. Additionally, in the intake phase, Flax streamlines the MDS form completion process by leveraging patient referrals alongside current clinical records, extracting vital PDPM-related information that frees up nurses to concentrate more on patient care instead of paperwork. Consequently, skilled nursing facilities can significantly enhance their operational performance and improve patient outcomes, making Flax an invaluable asset in the healthcare industry today. Moreover, the implementation of Flax not only fosters a more efficient workflow but also contributes to better resource allocation within these facilities.

Media

Media

Integrations Supported

MatrixCare
PointClickCare

Integrations Supported

MatrixCare
PointClickCare

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Imagia

Date Founded

2015

Company Location

Canada

Company Website

imagia.com/our-platform/

Company Facts

Organization Name

Flax

Date Founded

2025

Company Location

United States

Company Website

www.flax.ai/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

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