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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 OneAdvanced Clinical Decision Support?

OneAdvanced Clinical Decision Support is a robust software solution built to enhance patient triage and clinical safety across the healthcare system. It enables fast, consistent assessments in settings such as ambulance services, GP practices, out-of-hours services, and clinical assessment centers. The platform uses conversational decision support to guide clinicians and call handlers through structured yet flexible assessments. With tools like TeleAssess, FirstCall Core, FirstCall Lite, and Patient, it supports a wide range of triage workflows. Call handlers can reduce pressure on services by offering self-care advice or appropriately signposting patients. Patients can also complete digital self-assessments, helping organizations identify and treat the most urgent cases first. The software includes over 1,200 presenting complaints and more than 550 detailed question sets. Questions adapt based on age and gender to improve clinical accuracy. Content is updated quarterly by in-house clinicians to reflect current medical standards. Assessment summaries are available within host systems to support informed clinical decisions. Backed by more than 25 years of proven safety, the platform helps reduce risk and clinical bias. OneAdvanced Clinical Decision Support ultimately improves patient outcomes while streamlining triage operations.

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

OneAdvanced

Date Founded

2008

Company Location

United Kingdom

Company Website

www.oneadvanced.com/products/clinical-decision-support/

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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