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Description

Over 70% of healthcare information is contained within clinical documents, including reports, patient charts, clinician notes, and discharge summaries, allowing our specialized Natural Language Processing and AI Engine to extract essential concepts, attributes, and contextual information that drive business insights, enhance billing processes, assess and categorize patient risks, calculate quality metrics, and gather patient sentiment and outcome data. By tapping into difficult-to-access or previously unused data sources, you can significantly improve your clinical research or business intelligence efforts. Our extensive database features thousands of clinical concepts, including genomic biomarkers, symptoms, side effects, and medications, enabling the identification of disease characteristics and risk factors from clinical documents to better stratify patients and elevate the standard of care. Moreover, we ensure the protection of data subjects' identities while preserving the usefulness of the data through effective document de-identification strategies. This approach not only safeguards privacy but also empowers healthcare organizations to make informed decisions based on the most comprehensive data available.

Description

By leveraging visual analytics through TIBCO Spotfire®, PerkinElmer Signals Translational offers a comprehensive suite of tools designed to harmonize, manage, search, aggregate, and analyze extensive datasets consistently for translational research, all while ensuring scalability. This platform, driven by TIBCO Spotfire®, supports precision medicine initiatives by providing an unparalleled solution for biomarker discovery and patient stratification. The Linear Mixed Effect App (LME) within Signals Translational empowers researchers to evaluate the influence of various factors on specific phenotypes, allowing for adjustments related to random variables during analysis. Furthermore, it enables the identification of genes significantly affecting cancer stage progression, irrespective of patient origins. Notably, the LME models excel at addressing issues such as missing values and outliers, making them a robust choice for discovering potential biomarkers. Consequently, the integration of these advanced analytics tools enhances the efficacy of translational research in identifying key biomarkers that can lead to more personalized treatment approaches.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Signals Research Suite

Integrations

Signals Research Suite

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Inspirata

Founded

2014

Country

United States

Website

www.inspirata.com/solutions/healthcare-data-analytics/

Vendor Details

Company Name

PerkinElmer

Founded

1937

Country

United States

Website

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

Product Features

Population Health Management (PHM)

Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking

Product Features

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