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Description
Azure Health Data Services represents a collection of specialized technologies designed for managing protected health information (PHI) in a cloud environment. This service is founded on widely accepted global standards such as Fast Healthcare Interoperability Resources (FHIR)® and Digital Imaging Communications in Medicine (DICOM). It ensures the protection of data privacy while adhering to compliance regulations, allows for the de-identification of data to facilitate secondary uses, and enables the generation of valuable insights through analytics and AI capabilities. As an upgraded version of the Azure API for FHIR, it introduces enhanced technologies and services. Current users can maintain their experience without any service interruptions or modifications to pricing. By unifying healthcare data within the cloud, it simplifies the exchange of PHI throughout the entire care continuum. Additionally, it standardizes a variety of data sources, including clinical, imaging, device, and unstructured data, by utilizing FHIR, DICOM, and MedTech services, thereby enhancing interoperability and efficiency in healthcare delivery. This comprehensive approach aims to improve patient outcomes and streamline healthcare operations.
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
Azure Marketplace
Microsoft Azure
Pricing Details
$0.39 per GB per month
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
Microsoft
Founded
1974
Country
United States
Website
azure.microsoft.com/en-us/products/health-data-services
Vendor Details
Company Name
Infermedica
Founded
2012
Country
Poland
Website
infermedica.com
Product Features
HIPAA Compliance
Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management
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)
