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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 DrugCard?

DrugCard is an AI-powered pharmacovigilance platform designed to help pharmaceutical companies, CROs, and drug safety teams automate routine safety intelligence workflows, reduce manual screening, and maintain audit-ready pharmacovigilance processes. The platform supports global and local medical literature monitoring, regulatory intelligence, and adverse event data management in one connected workflow. DrugCard helps PV teams detect relevant safety information faster, review AI-generated article summaries, prioritize safety-relevant publications, translate local sources, create cases from literature, and maintain full traceability across screening and review activities. DrugCard’s literature monitoring solution covers 121+ countries, 2,200+ local medical sources, and 100+ languages, combining global sources such as PubMed with local, non-indexed journals that are often difficult to monitor manually. The system provides configurable projects, automated monitoring, keyword highlighting, AI pre-assessment of safety relevance, automated reports, notifications, QC workflows, audit trails, and documentation-ready outputs. In addition to literature monitoring, DrugCard includes AI-powered Regulatory Intelligence for tracking updates from health authorities and an Adverse Event Database for centralized safety data collection, E2B(R2/R3) support, reporting, analytics, and compliant case management. DrugCard is built for pharmacovigilance teams that need scalable, transparent, and compliant automation while keeping human experts in control of final medical and regulatory decisions.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

individual
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

DrugCard

Date Founded

2021

Company Location

Estonia

Company Website

drug-card.io

Categories and Features

Categories and Features

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