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What is Reema?

Our Guides utilize a cutting-edge digital platform complemented by distinctive data models to engage with elusive members and foster ongoing interaction. By attentively listening to their needs and communicating in relatable ways, Guides effectively inspire and motivate individuals. Members gain the advantage of having a reliable companion and a knowledgeable ally equipped with the insights and resources necessary to help them overcome challenges. Reema is regarded as an AI-enhanced confidant, available via text 24/7. By leveraging insights from our data models, the Guides tailor messages to reach the right individuals at the most impactful times, using the most suitable communication styles. This strategy enables Reema to blend authentic human interaction with automated functions, achieving both personalization and scalability. Through the integration of public data and our exclusive engagement metrics, Reema's data engine anticipates which members may be at risk, allowing Guides to take proactive measures and prevent costly healthcare interventions by connecting with those who might feel isolated. This deliberate engagement approach not only changes lives over time but also promotes better health outcomes for members. Moreover, the combination of advanced technology and genuine human connection cultivates a robust support system that facilitates significant transformation in the lives of those we serve. In this way, Reema not only supports individual needs but also contributes to a broader vision of community health improvement.

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

Reema Health

Company Location

United States

Company Website

www.reemahealth.com/solutions

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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