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What is Simply Onno?

Onno – Making Medical Documents Easier to Understand. Are you finding it difficult to comprehend a doctor's letter or a radiology report? Onno offers a straightforward translation of your medical documents to ensure clarity. Just upload any medical papers, and the AI, which has been approved by healthcare experts, will decode the complex medical terminology for you to fully understand the information presented. You have the option to receive a free summary, while the detailed version, which encompasses thorough definitions of all terms, suggested inquiries for your upcoming medical visit, and guidance on future actions, is available for €18.50. There’s no requirement for registration or account creation, allowing for a fully anonymous experience that complies with GDPR regulations and functions effortlessly in your browser. This service supports both German and English languages. At present, Onno is being validated through two clinical studies at Uniklinikum Dresden in Germany. With over 60,000 reports translated and more than 90% of users finding it advantageous, it is recognized as a highly sought-after and dependable resource for medical translation. Furthermore, Onno received the Deutscher KI-Startup-Preis 2025 from DIE WELT, underscoring its significant contribution to the field. This innovative service not only improves patient comprehension but also encourages more effective communication between patients and their healthcare providers, ultimately leading to better health outcomes. The success of Onno demonstrates a growing need for accessible medical information in an increasingly complex healthcare landscape.

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

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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

$18.50
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

Simply Onno GmbH

Date Founded

2024

Company Location

Germany

Company Website

www.simply-onno.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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