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What is Sorcero?

Sorcero is a cutting-edge platform that utilizes artificial intelligence to transform complex medical information into actionable insights tailored for the life sciences industry. It features a variety of tools, including Medical Insights Management, Intelligent Publication Monitoring, Plain Language Summaries, and Intelligent Systematic Literature Review, all designed to integrate and interpret both structured and unstructured data from multiple sources. By harnessing AI to analyze medical themes, research notes, and findings, Sorcero delivers precise and high-quality answers to intricate medical questions, thereby empowering teams in Medical Affairs, Pharmacovigilance, and Regulatory Affairs to make more informed decisions. The platform not only accelerates literature monitoring and aids in content generation but also promotes evidence-based decision-making, which significantly enhances patient outcomes while optimizing operational workflows. Furthermore, Sorcero's advanced features contribute to improved collaboration among various stakeholders in the healthcare ecosystem, fostering a more interconnected approach to medical research and practice. Ultimately, this innovative solution stands to revolutionize the way life sciences professionals access and utilize critical medical insights.

What is DF Literature Monitor?

DF Literature Monitor is an innovative AI-powered platform designed to simplify the extensive task of literature monitoring and improve safety oversight protocols. It interfaces with essential local and global literature databases to gather articles simultaneously, employing advanced semantic search technology to effectively identify relevant research. The tool features automatic de-duplication, essential safety information extraction, and the ability to pre-fill safety case forms, which can be submitted to safety databases in E2B or Excel/PDF formats with just a single click. Additionally, it offers automated translation services for both abstracts and full articles into English, enhancing accessibility for diverse teams. DF Literature Monitor also boasts customizable workflows that foster collaboration and ensure rigorous quality control among pharmacovigilance professionals. By implementing this solution, organizations can potentially cut down on the time and resources dedicated to literature monitoring by 60% or more, all while upholding strict quality standards and regulatory compliance. This tool is a groundbreaking advancement in pharmacovigilance, enabling teams to concentrate on critical evaluation instead of tedious manual tasks, ultimately improving overall efficiency and effectiveness in safety monitoring.

Media

Media

Integrations Supported

Microsoft Excel
DF mSafety AI
Microsoft Word
Reddit

Integrations Supported

Microsoft Excel
DF mSafety AI
Microsoft Word
Reddit

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

Sorcero

Date Founded

2017

Company Location

United States

Company Website

www.sorcero.com

Company Facts

Organization Name

Datafoundry

Date Founded

2016

Company Location

India

Company Website

datafoundry.ai/literature-monitor/

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Categories and Features

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