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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
Integrations
Signals Research Suite
No
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/