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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Even with advancements in technology, a significant portion of healthcare organizations still relies on outdated, non-automated, and unstructured formats such as paper faxes and PDFs for their data. The challenge of achieving interoperability persists across various healthcare systems. To address this issue, Consensus Clarity employs natural language processing (NLP) and artificial intelligence (AI) to enhance data sharing, visibility of information, workflow efficiency, and resource management among all participants in the healthcare sector. By converting digital unstructured documents into practical and actionable data, Consensus Clarity facilitates improved and expedited communication. Their NLP/AI solutions are designed to tackle the most pressing interoperability issues in the healthcare landscape. Furthermore, Clarity systematically eliminates obstacles and maximizes resource utilization throughout the entire continuum of care. In instances where a document is difficult to interpret, Clarity has the capability to transform unstructured data into a structured JSON format that can seamlessly integrate with other systems, thereby further enhancing operational efficiency. This innovative approach not only streamlines processes but also contributes to more effective patient care delivery.

Description

Our platform, designed with regulatory compliance in mind, enhances clinical research by using algorithms to sift through unstructured EMR data to identify life-threatening conditions. We create cutting-edge technologies that broaden access to groundbreaking healthcare solutions through Clinical Trials. Our dedicated team is committed to saving lives by facilitating access to therapeutic innovations that are still being researched. We strongly advocate that every patient should be informed and empowered regarding their potential to engage in clinical trials that could offer significant therapeutic benefits. As a forward-thinking healthcare AI research firm, we have created a computational platform that identifies patients who meet a detailed set of criteria for participation in clinical trials, ensuring that the most suitable candidates are considered for these critical studies. Through our work, we aim to revolutionize the way patients connect with life-changing treatment opportunities.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

JSON Yes 
MySQL No 
SQL No 
eFax Corporate Yes 

Integrations

JSON No 
MySQL Yes 
SQL Yes 
eFax Corporate No 

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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Consensus Cloud Solutions

Country

United States

Website

www.consensus.com/clarity/

Vendor Details

Company Name

Dyania Health

Founded

2019

Country

United States

Website

dyaniahealth.com

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

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