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Description
Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.
Description
Infermedica is a leading digital health company, specializing in AI-powered solutions for early symptoms assessment, digital triage and care navigation. Through its technology healthcare organizations can introduce solutions for symptoms checking, patient intake, follow-up, call center support and more. Infermedica’s Medical Guidance Platform is a Class IIb Medical Device under the MDR in the European Union, and is developed with the highest standards of quality and data protection, compliant with ISO, HIPAA, GDPR, SOC2.
Infermedica has been adeptly interweaving cutting edge technologies, including AI, LLMs, and NLP, with the proven Medical Knowledge and Inference Engine that lies in the core of its technologies. Those technologies can be accessed through various touchpoints, including web, mobile, call centers, voice agents and chat bots. Infermedica’s solutions achieve 94% of accuracy.
Infermedica is continuously working on the development of engaging and empathetic solutions, such as agentic AI, that bring medical benefits with full transparency of the underlying medical reasoning and data processing.
Infermedica is used by over 100 healthcare organizations in over 30 countries, including leaders like Allianz Partners, Médis, Microsoft, Teladoc Health, and Sana Kliniken. It is available over 20 languages, and has completed more than 23 million successful health checks to date.
Infermedica also provides Symptomate, a symptom checker free for individuals wishing to better understand their symptoms.
To learn more, visit our webpage.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
AWS App Mesh
Amazon Comprehend
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/comprehend/medical/
Vendor Details
Company Name
Infermedica
Founded
2012
Country
Poland
Website
infermedica.com
Product 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
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)