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What is Regard?

We simplify clinical workflows, enabling healthcare professionals to focus on what is most important: their patients' well-being. Integrated with the electronic health record (EHR), Regard meticulously reviews the complete patient history, aiding in better diagnosis and treatment decisions. The benefits of using Regard have been proven to markedly improve hospital financial outcomes, enhance patient safety, and boost physician morale. By decreasing coding inquiries, lowering insurance claim rejections, and shortening chart review times, our goal is to revolutionize healthcare delivery. We encourage you to join our mission to ensure outstanding healthcare access for everyone. Tailored specifically for healthcare professionals, Regard streamlines workflow to create a more effective and enjoyable experience with the electronic medical record (EMR). Acting as an AI co-pilot that works effortlessly within the EMR, Regard serves as a virtual medical resident, structuring patient data, suggesting potential diagnoses, and automating the drafting of clinical notes. With Regard on your side, you'll find more time to engage in the medical aspects you love, while our technology expertly manages the complexities of data. Ultimately, Regard's AI co-pilot is an essential resource that not only elevates patient care but also enriches the experience for physicians, making it a transformative force in healthcare. As the landscape of medicine continues to evolve, having such innovative tools will be crucial in meeting the challenges ahead.

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

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend

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

Regard

Company Location

United States

Company Website

regard.com

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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