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What is Savana?

Savana is an advanced clinical intelligence platform that employs artificial intelligence to transform unstructured text from electronic medical records into meaningful real-world evidence through advanced natural language processing methods. Since its inception in 2014, Savana has successfully structured and analyzed billions of clinical documents across diverse languages and regions, uncovering insights that were previously hidden within healthcare data. Its EHRead NLP models power tools for both anonymization and pseudonymization, efficiently managing extensive amounts of structured and unstructured data, having processed in excess of 35 million documents to this point. By delivering actionable, research-quality evidence to hospitals, researchers, and health systems, Savana bolsters precision medicine projects, undertakes epidemiological studies—including predictive analyses linked to COVID-19—and enhances overall clinical data strategies, thereby cementing its status as a leading contributor to Health Economics and Outcomes Research (HEOR) in Europe. Furthermore, Savana's cutting-edge approach not only transforms data analysis within healthcare but also fosters improved decision-making processes, which can significantly lead to better patient outcomes and a more effective healthcare system. Through continued innovation, Savana is setting new standards for clinical data utilization and insight generation.

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

Savana

Date Founded

2014

Company Location

Spain

Company Website

savanamed.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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