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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 MedAffairs AI?

MedAffairs AI is a cloud-based machine learning solution designed to enhance the Medical Affairs domain within the pharmaceutical sector by utilizing advanced artificial intelligence. By tapping into a vast database of medical affairs knowledge, it provides users with swift and accurate responses to their questions, significantly reducing the time spent navigating through numerous drives and folders. This groundbreaking platform streamlines the integration of internal resources, such as clinical trial data, standard operating procedures, and relevant articles, allowing users to readily acquire information by querying their uploaded files. Each response is directly linked to the appropriate source document, making it easy to reference. In addition, MedAffairs AI facilitates searches across both internal and external datasets, delivering comprehensive insights into medical knowledge, adherence to regulations, interactions with key opinion leaders, and the development of medical strategies. By doing so, the tool not only conserves valuable time but also boosts the effectiveness of the Medical Affairs team in their strategic decision-making processes, ultimately contributing to better outcomes in the pharmaceutical landscape. This innovative approach signifies a notable advancement in how medical affairs teams operate, paving the way for improved collaboration and knowledge sharing.

Media

Media

Integrations Supported

Microsoft Excel
Microsoft Word
Reddit

Integrations Supported

Microsoft Excel
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

Accreditation Council for Medical Affairs (ACMA)

Date Founded

2015

Company Location

United States

Company Website

medaffairsai.org

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

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