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What is EVERSANA?

Imagine a partner in commercial services that flawlessly meshes with your existing team—this is the essence of EVERSANA. We emphasize your business goals and provide a robust infrastructure aimed at protecting your investments. Our commitment lies in metrics and accountability, leveraging integrated and actionable data to enhance performance. Our extensive suite of services is designed to cater to a variety of needs, regardless of the scale of your operation. EVERSANA uniquely positions itself as the sole service provider capable of engaging with life sciences innovators in any manner necessary. You can tap into our broad array of services at every stage of the product life cycle, from pre-commercialization through to managing impending exclusivity loss. By seamlessly incorporating our offerings, you can develop bespoke, goal-oriented solutions to address challenges such as market access, distribution efficiency, patient adherence, and more. As a driving force in the life sciences services industry, EVERSANA removes the need to depend on multiple vendors or service providers. Rather, we have created a commercial services platform that works in concert with your processes, ensuring a cohesive approach that boosts both efficiency and effectiveness across your operations. This integration not only simplifies workflows but also empowers you to focus on what truly matters—achieving your business objectives.

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

EVERSANA

Company Location

United States

Company Website

www.eversana.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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