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What is DF mSignal AI?

DF mSignal serves as a flexible and scalable system for the management of safety signals, significantly improving the effectiveness of risk management and signal detection within the pharmaceutical and medical device sectors, while also encompassing areas such as cosmetics and nutraceuticals. The platform offers both active and passive monitoring, featuring real-time monitoring of product-event combinations along with customizable clinical risk indicators and a user-friendly interface enriched by advanced analytics. It effortlessly integrates with MedDRA, WHO DD, clinicaltrial.gov, and various electronic data collection systems, delivering a holistic safety solution for industry professionals. Additionally, DF mSignal AI employs automation to calculate statistical scores, streamlining the signal detection process and enhancing accuracy. The system is meticulously designed to adhere to all relevant regulations, including 21 CFR Part 11, and incorporates stringent data privacy and integrity controls, as well as Good Practice guidelines (GxPs), to guarantee compliance and security for users. With its comprehensive features, DF mSignal not only optimizes safety signal management but also fosters confidence among stakeholders in the regulatory landscape.

What is CoVigilAI?

CoVigilAI represents a state-of-the-art innovation in the realm of medical literature monitoring, harnessing the power of artificial intelligence and advanced data analytics to proactively detect and manage adverse drug reactions, ensuring patient safety and compliance with regulatory requirements in real-time. This platform facilitates the efficient tracking of scientific and medical literature by retrieving data from prominent global databases such as PubMed and Embase, and it offers customizable search options that improve the pharmacovigilance literature review process. Furthermore, it conducts thorough evaluations of scientific articles and publications from various regional journals, guaranteeing an extensive oversight of both global and localized literature. With the implementation of sophisticated algorithms, the system categorizes Individual Case Safety Reports (ICSRs) into three distinct classifications: valid, potential, and invalid cases, while its automated key entity recognition feature proficiently pinpoints critical components such as patients, medications, adverse reactions, and pertinent medical events. This comprehensive strategy not only streamlines the monitoring procedure but also considerably boosts the precision and efficiency of drug safety evaluations, contributing to a safer healthcare environment. Ultimately, CoVigilAI serves as an indispensable tool for enhancing drug safety and fostering informed decision-making in the medical field.

Media

Media

Integrations Supported

Embase
PubMed

Integrations Supported

Embase
PubMed

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Datafoundry

Date Founded

2016

Company Location

India

Company Website

datafoundry.ai/m-signal/

Company Facts

Organization Name

CoVigilAI

Company Location

India

Company Website

covigilai.in/

Categories and Features

Categories and Features

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