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What is RAAPID?

For over 15 years, we have led the way in creating clinical NLP platforms and exploring their various applications, achieving remarkable levels of precision and accuracy in the process. Our primary expertise lies in accurately interpreting unstructured medical notes on a large scale, having tested our systems against billions of genuine clinical documents. We have developed AI that not only provides output but also elaborates with context, reasoning, and supporting evidence. Our NLP technology is enriched with over 4 million entities and more than 50 million relationships, thanks to the integration of extensive medical knowledge. By employing advanced Machine Learning (ML) and Deep Learning (DL) models, we have constructed a robust NLP framework built upon comprehensive ontologies and specialized clinician terminologies. This allows us to effectively comprehend, interpret, and extract meaningful insights from the often inconsistent and non-standard data present in medical records. Our clinical domain experts continuously enhance our NLP capabilities by integrating knowledge graphs that detail the connections between all clinical entities, ensuring our systems remain at the forefront of medical data interpretation. With this relentless pursuit of innovation, we are poised to shape the future of clinical NLP further.

What is DynaMed?

Designed for the needs of contemporary healthcare practitioners, DynaMed integrates premium evidence-based resources, expert opinions, and a user-friendly, customized interface to provide quick and accurate answers precisely when they are required. Healthcare professionals gain from the regular updates that can revolutionize their practice, ensuring access to the most trustworthy evidence. It is crucial that healthcare providers have complete confidence in the information they rely on for patient diagnosis and treatment. DynaMed builds this trust in clinical decision-making through a rigorous seven-step evidence-based methodology, ongoing systematic literature reviews with daily updates, and expert evaluations that clarify and reinforce the evidence. When clinicians encounter queries during patient care, they need prompt answers to sustain effective treatments. Additionally, DynaMed enhances its functionality with sophisticated search features, supplying direct access to primary literature with just a click, thereby making it an essential resource in clinical environments. This versatile platform not only simplifies the process of finding vital information but also equips clinicians to achieve better patient outcomes, ultimately improving the quality of care delivered. As the demands of healthcare evolve, tools like DynaMed are vital in supporting the ongoing education and efficiency of medical professionals.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

RAAPID INC

Date Founded

2022

Company Location

United States

Company Website

www.raapidinc.com

Company Facts

Organization Name

EBSCO

Company Location

United States

Company Website

www.ebsco.com/clinical-decisions/dynamed-solutions/dynamed

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

Categories and Features

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