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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 FDB CDS Analytics?

Healthcare organizations invest considerable amounts of time, resources, and financial capital into electronic health record (EHR) solutions to comply with best practices and improve patient outcomes, heavily relying on effective clinical decision support (CDS) systems to fulfill these aims. Nevertheless, the real challenge emerges in determining which CDS initiatives embedded in your EHR are yielding positive results or falling short. FDB CDS Analytics provides your organization with powerful tools that facilitate the easy identification, tracking, and customization of clinical decision support, ultimately enhancing the experience for clinicians and maximizing the effectiveness of CDS. With intuitive dashboards, you can monitor organization-wide trends and explore details at both the departmental and individual user levels. This solution includes pre-configured metrics for CDS monitoring and reporting, allowing for a rapid implementation and enabling you to identify the best moments to deliver information within workflow processes. Furthermore, you can assess the long-term impacts of clinical decision support and monitor the most commonly activated medication alerts, which enables you to tailor customization efforts to the areas that produce the most significant outcomes. By employing this holistic analytics strategy, not only does it simplify decision-making, but it also encourages an ongoing commitment to enhancing healthcare delivery, ultimately leading to better patient care and operational efficiency. As a result, embracing such analytics can significantly transform the way healthcare providers approach clinical decision-making and patient treatment.

Media

Media

Integrations Supported

Juno EHR

Integrations Supported

Juno EHR

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

RAAPID INC

Date Founded

2022

Company Location

United States

Company Website

www.raapidinc.com

Company Facts

Organization Name

First Databank

Company Location

United States

Company Website

www.fdbhealth.com/solutions/clinical-decision-support-analytics

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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