Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
No
Integrations
AWS AI Services
Yes
AWS App Mesh
Yes
Amazon CloudWatch
No
Amazon Comprehend
Yes
Amazon S3
No
Amazon Web Services (AWS)
No
Docker
No
Microsoft Teams
No
Slack
No
Integrations
AWS AI Services
No
AWS App Mesh
No
Amazon CloudWatch
Yes
Amazon Comprehend
No
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Docker
Yes
Microsoft Teams
Yes
Slack
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$159 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No