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What is Glass AI?

Leverage Glass AI to generate differential diagnoses and clinical strategies while engaging with our vast community library brimming with collective medical insights. This innovative platform is crafted to enhance the accumulation and retention of medical knowledge, ensuring that every case and learning opportunity is optimized through a personalized notetaking system tailored for clinical practice. By promoting the effortless exchange of schemas, scripts, and case studies, you empower your colleagues and trainees in their professional journeys. On busy days, swiftly collect and organize invaluable knowledge insights, later linking them to relevant information. Deepen your comprehension by documenting essential learning points from various cases, fostering stronger connections between concepts and available resources. The platform offers a clear and structured method for sharing information with fellow professionals, making collaboration seamless. You can also conveniently import your notes from Evernote, with additional integrations planned for the future. By joining the Glass Health community, you can actively participate in shaping innovative, user-centric software that aims to enhance the experience of healthcare providers. Embrace the evolving landscape of clinical knowledge management and collaboration, and be part of a movement that prioritizes continuous learning and improvement in patient care.

What is Amazon Comprehend Medical?

Amazon Comprehend Medical is an NLP service designed to adhere to HIPAA standards, employing machine learning to extract health information from medical documents without necessitating any prior expertise in machine learning from its users. A vast amount of healthcare data is found in unstructured formats, such as physicians' notes, clinical trial reports, and patient histories. Relying on traditional, manual methods for data extraction is not only time-consuming but also prone to errors, as rule-based automation often fails to capture essential contextual details, resulting in incomplete data retrieval. This lack of reliability can significantly undermine the effectiveness of large-scale analytics, which are critical for advancements in the healthcare and life sciences industries, ultimately impeding potential enhancements in patient care and operational effectiveness. By utilizing this sophisticated service, healthcare organizations can gain invaluable insights and improve their decision-making capabilities, ultimately leading to better outcomes for patients. This transformative approach represents a significant leap forward in how health data can be leveraged for greater efficiency and efficacy in medical practices.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
Evernote

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
Evernote

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

Glass

Company Location

United States

Company Website

glass.health/ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/medical/

Categories and Features

Categories and 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

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