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Description

Clinical Extract is capable of retrieving research information from any electronic health record system equipped with a certified bulk FHIR API, including platforms like Epic, Oracle Health (Cerner), athenahealth, eClinicalWorks, MEDITECH, NextGen, and Veradigm. This tool operates within your own infrastructure as a SMART Backend Services client, utilizing read-only permissions, and facilitates the export of only the designated study group via a Group $export, transforming NDJSON into a comprehensive CSV complete with a data dictionary that identifies the FHIR element corresponding to each column. Importantly, patient information remains securely within your environment. Designed specifically for cancer and clinical registries, it accommodates coded case and abstraction fields in accordance with the NAACCR layout, as well as meeting the needs of research informatics teams and honest brokers by providing study-specific pulls paired with an IRB-compliant data dictionary, and assisting research sites with clinical trial feasibility assessments based on coded criteria. Among its notable features are a cohort builder, roster extraction using FHIR $match, the generation of the CSV and data dictionary, and a specialized oncology perspective that presents biomarkers and TNM stage as clearly labeled columns, ensuring ease of analysis. This comprehensive approach enhances the accessibility and usability of critical health data for various research applications.

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 No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Signals Research Suite No 

Integrations

Signals Research Suite Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Saga IT

Founded

2016

Country

United States

Website

clinicalextract.com

Vendor Details

Company Name

PerkinElmer

Founded

1937

Country

United States

Website

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

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Product Features

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