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What is Veradigm Real-World Evidence?

The Veradigm Real-World Evidence (RWE) analytics platform serves as a cost-effective software-as-a-service solution specifically crafted for the thorough and effective examination of real-world data. Organizations in the fields of life sciences and clinical research utilize this platform to explore electronic health records (EHR) data in depth. By conforming to OMOP standards, the analytical platform boosts both the reliability and efficiency of real-world evidence generation. Utilizing Veradigm Network data allows users to conduct population analyses within minutes, create reusable patient cohorts that maintain consistent terminology across diverse data sources, and carry out repeatable retrospective studies. Furthermore, the platform is capable of analyzing any dataset that adheres to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), which includes data drawn from Veradigm Network EHR. This robust tool not only streamlines the research workflow but also significantly improves the quality of insights gained from real-world data, thereby facilitating better decision-making in healthcare. Ultimately, the platform represents a crucial advancement in harnessing real-world evidence for impactful outcomes in the medical field.

What is Signals Translational?

Utilizing visual analytics offered by TIBCO Spotfire®, PerkinElmer Signals Translational provides a robust array of tools aimed at streamlining the harmonization, management, searching, aggregation, and analysis of large datasets for translational research, all while maintaining scalability. This platform, powered by TIBCO Spotfire®, plays a vital role in advancing precision medicine initiatives by delivering an exceptional solution for discovering biomarkers and stratifying patients effectively. Within Signals Translational, the Linear Mixed Effect App (LME) equips researchers with the capability to assess the impact of various factors on specific phenotypes, facilitating adjustments associated with random variables during their analyses. Additionally, it aids in pinpointing genes that significantly influence the progression of cancer stages, regardless of the patients' backgrounds. Importantly, the LME models are particularly adept at handling challenges like missing values and outliers, positioning them as a reliable option for uncovering potential biomarkers. As a result, the incorporation of these sophisticated analytics tools significantly boosts the effectiveness of translational research, paving the way for the identification of critical biomarkers that can enhance personalized treatment strategies. This innovative approach not only streamlines research processes but also fosters collaboration among researchers aiming to improve patient outcomes through more tailored therapeutic interventions.

Media

Media

Integrations Supported

Signals Research Suite

Integrations Supported

Signals Research Suite

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Veradigm

Company Location

United States

Company Website

veradigm.com/evalytica-real-world-evidence-analytics/

Company Facts

Organization Name

PerkinElmer

Date Founded

1937

Company Location

United States

Company Website

perkinelmerinformatics.com/products/clinical-translational/signals-translational/

Categories and Features

Categories and Features

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