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What is InQuery?

InQuery is redefining medical record review for insurers, attorneys, and healthcare experts with AI-driven automation designed for precision, speed, and compliance. Instead of manually sifting through hundreds of pages, users can now review, organize, and summarize complex medical files in minutes. The platform’s machine learning engine automatically indexes and labels every document by provider, type, and relevance while extracting ICD codes, medications, and treatment data. These insights are compiled into customizable case summaries and chronologies, enabling users to quickly identify patterns, key facts, and missing information. With InQuery, organizations can handle three times more cases with the same resources—cutting costs, reducing turnaround time, and improving decision quality. Automated quality checks ensure compliance and consistency, flagging regulatory or data gaps before they impact outcomes. The platform empowers teams to focus on high-value analysis rather than repetitive document handling. Its one-click export feature generates ready-to-use, fully organized case files, saving hours of preparation. Designed with strict adherence to HIPAA and SOC 2 standards, InQuery safeguards sensitive information with robust security and reliability. It’s the intelligent, modern solution for transforming medical record chaos into clarity and confidence.

What is Azure Health Bot?

The Azure Health Bot empowers developers in the healthcare sector to design and deploy AI-driven conversational solutions that are both scalable and compliant with relevant regulations. By merging an extensive medical database with sophisticated natural language processing capabilities, it effectively interprets clinical terminology, allowing for customization to address the specific needs of healthcare providers. This platform is structured to adhere to industry standards while maintaining patient privacy in line with HIPAA regulations. Users have the ability to build health bots that leverage pre-existing medical knowledge, triage frameworks, and language models specifically focused on understanding clinical language. It also supports seamless transitions from automated bot interactions to human assistance, whether from medical professionals or support staff. The inclusion of various scenario templates tailored for the healthcare industry facilitates the rapid development of different healthcare applications. Moreover, organizations can refine their unique use cases through specialized configuration options and extensibility tools, thereby creating a more customized approach to their health solutions. Ultimately, the Azure Health Bot serves as a crucial asset for organizations aiming to enhance patient engagement and improve care delivery through innovative technology. With its robust features, it offers a pathway for healthcare providers to stay competitive in an evolving digital landscape.

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Integrations Supported

Azure Marketplace
Microsoft Azure
Microsoft Teams

Integrations Supported

Azure Marketplace
Microsoft Azure
Microsoft Teams

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$2.50 per 1,000 messages
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

InQuery

Date Founded

2024

Company Location

United States

Company Website

www.inquery.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/bot-services/health-bot/

Categories and Features

Categories and Features

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