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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.

Description

The easiest way to begin your journey is through Healthcare Blocks, which offers a cloud-based application hosting environment built on Linux that complies with HIPAA and the NIST cybersecurity framework. Our dedicated team takes care of ensuring the security and scalability of this platform, allowing your organization to concentrate on developing and deploying applications effectively. For healthcare entities either currently utilizing or intending to adopt Amazon Web Services (AWS), our innovative solution removes the uncertainty and labor associated with meeting the obligations of AWS's "shared responsibility model." This offering effectively connects the dots between being "HIPAA eligible" and achieving "HIPAA compliant" status. The infrastructure features Ubuntu security-enhanced virtual machines that come equipped with auto-scaling capabilities, encrypted storage, and automated security updates. Additionally, it utilizes Amazon S3 for the secure storage of uploaded files, backups, and archived datasets, ensuring data integrity and availability. Support is provided through a standard help desk portal, with options for upgraded premium support available as needed. Furthermore, it includes support for Docker engines and Dokku PaaS, enabling seamless application deployment and management. This comprehensive solution empowers healthcare organizations to innovate without compromising on security or compliance.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS AI Services
AWS App Mesh
Amazon CloudWatch
Amazon Comprehend
Amazon S3
Amazon Web Services (AWS)
Docker
Microsoft Teams
Slack

Integrations

AWS AI Services
AWS App Mesh
Amazon CloudWatch
Amazon Comprehend
Amazon S3
Amazon Web Services (AWS)
Docker
Microsoft Teams
Slack

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$159 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/comprehend/medical/

Vendor Details

Company Name

Healthcare Blocks

Country

United States

Website

www.healthcareblocks.com

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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

Product Features

Alternatives

Alternatives