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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.

What is ClinionAI Medical Coding?

Introducing ClinionAI, an advanced medical coding software that leverages full automation and AI capabilities to enhance your team's efficiency and effectiveness. By utilizing sophisticated Deep Learning Natural Language Processing (NLP) models, this software automates the coding process for adverse events and concomitant medications. The AI-driven medical coding algorithm has been developed using a vast array of biomedical terminology, enabling it to learn and understand medical contexts through machine learning techniques. Incorporating MedDRA dictionaries, the system intelligently aligns adverse event terms from Clinion EDC with those in the MedDRA database. Users can view results alongside confidence scores, allowing them to select the most accurate matches with ease, ensuring high precision in medical coding tasks. This innovative tool ultimately streamlines the coding workflow, freeing up valuable time for healthcare professionals.

Media

Media

No images available

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

CoVigilAI

Company Location

India

Company Website

covigilai.in/

Company Facts

Organization Name

Clinion

Date Founded

2010

Company Location

India

Company Website

www.clinion.com/ai-medical-coding/

Categories and Features

Categories and Features

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