Audience

Professionals and companies in need of a healthcare system solution to share data, ehance workflows, and optimize their resources

About Consensus Clarity

Despite the availability of new and updated technology, most healthcare organizations’ data remains embedded in non-automated, unstructured documents like paper faxes and PDFs. Interoperability continues to be a challenge for all healthcare systems. Consensus Clarity’s natural language processing (NLP) and artificial intelligence (AI) technology help solve this problem, enabling better data sharing, information visibility, enhanced workflows, and resource optimization for all stakeholders. Consensus Clarity transforms digital unstructured documents into useful and actionable data, improving and accelerating communications. Clarity’s NLP/AI makes it possible to solve today’s toughest healthcare interoperability challenges. Clarity removes roadblocks and optimizes resources across the continuum of care. In a hard-to-read document, Clarity can turn unstructured data into a structured JSON format that can be consumed into another system.

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Integrations

API:
Yes, Consensus Clarity offers API access
See Integrations

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

Consensus Cloud Solutions
United States
www.consensus.com/clarity/

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Support
Phone Support
Online

Consensus Clarity Frequently Asked Questions

Q: What kinds of users and organization types does Consensus Clarity work with?
Q: What languages does Consensus Clarity support in their product?
Q: What kind of support options does Consensus Clarity offer?
Q: What other applications or services does Consensus Clarity integrate with?
Q: Does Consensus Clarity have an API?
Q: What type of training does Consensus Clarity provide?

Consensus Clarity Product Features

Natural Language Processing

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