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features
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Description

InQuery revolutionizes medical and legal document review by using artificial intelligence to streamline and accelerate case preparation. The platform automates record sorting, tagging, and summarization for insurance carriers, law firms, IME providers, and record retrieval specialists. It classifies every file by date, provider, and type while extracting key data points like ICD codes, treatment timelines, and medications. AI-generated summaries transform hundreds of pages of notes into concise, searchable insights ready for export. Teams report up to 70% time savings, faster case turnaround, and fewer revision cycles. Built-in compliance checks flag missing records and regulatory risks, ensuring accuracy and reducing liability exposure. With HIPAA and SOC 2 compliance at its core, InQuery provides enterprise-grade security alongside cutting-edge automation. The result: a more efficient, accurate, and scalable approach to medical-legal review.

Description

Engage with a medical-focused generative AI that not only elucidates its responses but also cites relevant references, refreshes its medical knowledge on a daily basis, and allows users to personalize and select knowledge bases. This AI comes equipped with a pre-loaded database and has been trained using over 2,300 reference datasets put together by experts in the medical field, encompassing a wide array of terminologies, medical research, clinical trials, patents, population health insights, costs, as well as public and regulatory information. It indexes numerous sources of medical research and data, ensuring a comprehensive understanding of the available information. The system is designed to receive daily updates on the latest medical findings, clinical trial results, and evolving terminologies, making it capable of processing vast quantities of documents, potentially reaching into the millions or billions. Moreover, the cluster can be scaled according to specific requirements. As a type of conversational AI, a medical chatbot employs natural language processing (NLP) technologies to communicate with users, delivering valuable medical information, guidance, or assistance. These chatbots serve various functions, including addressing general inquiries regarding diseases, health concerns, and available treatment options, thus enhancing the accessibility of medical knowledge for users everywhere.

API Access

Has API

API Access

Has API

Screenshots View All

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

InQuery

Founded

2024

Country

United States

Website

www.inquery.ai/

Vendor Details

Company Name

John Snow Labs

Country

United States

Website

www.johnsnowlabs.com/medical-chatbot/

Product Features

Product Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Alternatives

Alternatives

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