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What is Fabric?

Our healthcare enablement platform effectively alleviates the administrative load on healthcare providers, resulting in improved experiences for patients. By optimizing the connection process between patients and the right care options, we can successfully boost patient volumes. This innovative system reduces the amount of time clinicians dedicate to tasks unrelated to patient care, thereby decreasing frustration and burnout through the automation of various administrative duties. Furthermore, we cultivate a unified and integrated technological ecosystem that works seamlessly with existing EMR systems. Leveraging the capabilities of conversational AI and intelligent adaptive interviews, Fabric integrates virtual and in-person healthcare services effortlessly, addressing every stage from patient intake to treatment while streamlining staff workflows. Crafted in alignment with clinical guidelines by a specialized team of healthcare experts, Fabric’s clinical intelligence engine guarantees high standards of care quality while offering patients omnichannel access to a variety of services. This comprehensive strategy not only boosts operational efficiency but also promotes improved patient outcomes and higher satisfaction levels, ultimately transforming the healthcare experience for both providers and patients alike.

What is Dyania Health?

Our platform is meticulously crafted with a focus on regulatory compliance, enhancing the landscape of clinical research by employing advanced algorithms to analyze unstructured EMR data for the identification of critical health conditions. We are at the forefront of innovation, developing state-of-the-art technologies that expand access to transformative healthcare solutions through Clinical Trials. Our passionate team is driven by a mission to save lives by improving access to therapeutic advancements still under investigation. We firmly believe that every patient deserves to be informed and empowered about their options to participate in clinical trials that may provide substantial therapeutic advantages. As a progressive healthcare AI research organization, we have developed a sophisticated computational platform that accurately identifies patients who fulfill an extensive range of criteria necessary for participation in clinical trials, ensuring that those best suited are prioritized for these vital studies. Ultimately, our goal is to transform the way patients discover and engage with potentially life-altering treatment options, fostering a new era of healthcare possibilities. Through these efforts, we aspire to bridge the gap between innovative research and patient access, making a tangible difference in the healthcare landscape.

Media

Media

Integrations Supported

MySQL
Pandium
SQL
fastn

Integrations Supported

MySQL
Pandium
SQL
fastn

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

Fabric

Date Founded

2021

Company Location

United States

Company Website

www.fabrichealth.com

Company Facts

Organization Name

Dyania Health

Date Founded

2019

Company Location

United States

Company Website

dyaniahealth.com

Categories and Features

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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