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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 Bainbridge Health Med O.S.?

We provide effective solutions for pharmacists and safety leaders that focus on improving safety measures, standardizing processes, and making the most of limited clinical resources. Our goal is to empower our collaborators to utilize their infusion data effectively, raising safety benchmarks, ensuring uniformity, and enhancing the utilization of their clinical resources. By blending technology with a robust clinical services team and leveraging network benchmarking, we deliver significant value. The Med O.S. data science platform transforms how infusion data is analyzed, offering fresh insights and tackling the limitations of traditional reporting practices. A committed team of pharmacists and data analysts formulates actionable strategies that yield real-world benefits. Our partners benefit from expert human assistance, which goes far beyond just providing access credentials. Additionally, our network benchmarking taps into the knowledge of the leading infusion community in the United States, aiding the sharing of trends and best practices while steering quality and operational advancements. This comprehensive methodology guarantees that our partners are adept at managing the intricacies of clinical safety and enhancing efficiency. Ultimately, we strive to create a supportive environment where safety and operational excellence can thrive together.

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

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

Bainbridge Health

Date Founded

2016

Company Location

United States

Company Website

www.bainbridgehealth.com/solutions

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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