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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 OMS EHR?

Objective Medical Systems is transforming the cardiology landscape through its groundbreaking EHR and diagnostic tools, enabling cardiologists to significantly improve both their efficiency and the quality of patient care. To discover more about our innovative Cardiology Suite, click below and see how our Stage 3 certified electronic health record is tailored to address the specific requirements of cardiologists. Experience the seamless enhancement of documentation and compliance that also leads to increased productivity. Our advanced cardiology software is designed to manage even the most complex cases with remarkable speed and accuracy. You can access the most current patient information, including diagnostic reports, directly from your iOS device, making it easy to conduct reviews while on the move. The OMS Clinical Decision Support System allows for retrospective searches throughout your patient population or enables you to set up prospective rules that trigger automatically. Furthermore, our system aids in identifying patients who may be eligible for clinical trials or studies involving medical devices, simplifying the process for both doctors and patients. By adopting our comprehensive solutions, you can embrace a new era of heart care that is aligned with the ever-changing needs of the cardiology field and improves outcomes for all stakeholders involved. Experience the future of cardiology with us today.

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

Objective Medical Systems

Date Founded

2011

Company Location

United States

Company Website

objectivemedicalsystems.com/products/electronic-health-record/

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

Electronic Medical Records (EMR)

Appointment Management
Charting
Compliance Tracking
E-Prescribing
E/M Coding
HIPAA Compliant
Handwriting Recognition
Integrated Telehealth
MIPS Certified
Meaningful Use Certified
ONC-ATCB Certified
Patient Portal
Self Service Portal
Voice Recognition

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