Audience

Healthcare providers in need of a tool to manage terminologies, extract context and meaning from documents, and get insights

About RAAPID

Over 15+ years, we have been the pioneers in building successful clinical NLP platforms & their applications that delivers high accuracy and precision rates. Our core capability is to interpret unstructured notes, accurately and at scale. Tried & tested on billions of diverse and real clinical notes & documents. Explainable AI with reasoning, context & evidence for output. Medical knowledge infused NLP with 4M+ entities & 50M+ relationships. Built using innovative Machine Learning (ML) & Deep Learning (DL) models. Leverage a foundation of rich ontologies & clinician-specific terminologies. We have the ability to understand, interpret and extract context & meaning from the messy, inconsistent, non-standardized data within medical documents. Our Clinical domain experts continuously infuse knowledge graphs into our NLP by mapping all the clinical entities and the relationship between them. So far, we have more than 4 million entities and 50 million relationships.

Integrations

API:
Yes, RAAPID offers API access
No integrations listed.

Ratings/Reviews

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Company Information

RAAPID INC
Founded: 2022
United States
www.raapidinc.com

Videos and Screen Captures

RAAPID Screenshot 1
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Product Details

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

RAAPID Frequently Asked Questions

Q: What kinds of users and organization types does RAAPID work with?
Q: What languages does RAAPID support in their product?
Q: What kind of support options does RAAPID offer?
Q: Does RAAPID have an API?
Q: What type of training does RAAPID provide?

RAAPID Product Features

Natural Language Processing

Sentence Segmentation Not Supported
Tokenization Not Supported
Stemming/Lemmatization Not Supported
Part-of-Speech Tagging Not Supported
Parsing Not Supported
Named Entity Recognition Not Supported
Co-Reference Resolution Not Supported
In-Database Text Analytics Not Supported
Open Source Integrations Not Supported
Natural Language Generation (NLG) Not Supported