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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 HINAI Web?

HIN+AI is a cutting-edge, mobile-focused HealthIT solution built on a blockchain-enabled electronic health record framework, which includes an XDS-compatible clinical content manager, a cloud-based multi-tenant patient administration platform, and adaptable practice management tools that support advanced data querying and analytics. The first iteration of HIN+AI features clinical decision support mechanisms, smart notifications, a scheduling interface that integrates with a Computerized Physician Order Entry (CPOE) system, and a results viewer, creating a dynamic electronic healthcare ecosystem that securely manages personal health information across smartphones, tablets, and computers. At its essence, deep learning is about identifying patterns through interlinked data points, and HIN+AI utilizes these methodologies to transform extensive EHR datasets into actionable knowledge and insights. Moreover, the blockchain technology embedded in HIN+AI guarantees the interoperability, integrity, and security of health information, empowering users to possess and control their data through cryptographically secure and unalterable exchange protocols. It also has the capability to consolidate and analyze data from a range of wearable health devices and sensors, further enriching the health management experience. This seamless integration not only optimizes data handling but also provides thorough insights into individual health patterns, helping users make informed decisions about their well-being. Ultimately, HIN+AI represents a significant advancement in digital health solutions, paving the way for a more personalized and secure approach to healthcare management.

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

ICT Health Technology Services India

Date Founded

2010

Company Location

United Arab Emirates

Company Website

www.icthealth.com

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

Hospital Management

Accounting Integration
Appointment Management
Appointment Scheduling
Bed Management
Billing & Invoicing
Claims Management
In-Patient Management
Inventory Management
Medical Billing
Out-Patient Management
Patient Records Management
Physician Management
Policy Management
Revenue Management

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