Clinical ExtractSaga IT
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About
Clinical Extract pulls research data from any EHR with a certified bulk FHIR API: Epic, Oracle Health (Cerner), athenahealth, eClinicalWorks, MEDITECH, NextGen and Veradigm. It runs inside your environment as a SMART Backend Services client with read-only scopes, exports only the study cohort through a Group $export, and turns the NDJSON into one analysis-ready CSV with a data dictionary that names the FHIR element behind every column. Patient data never leaves your environment. It is built for cancer and clinical registries (coded case and abstraction fields in the NAACCR layout), research informatics teams and honest brokers (study-scoped pulls with an IRB-ready data dictionary), and research sites (clinical trial feasibility counts from coded criteria). Features include a cohort builder, roster pull with FHIR $match, the CSV and data dictionary, and an oncology lens that delivers biomarkers and TNM stage as named columns.
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About
By detecting early-stage cancers, AI enables timely management that can increase the chance of survival through AI. Cancer is complex. Every cancer is unique in its own way, containing vast information that needs to be processed. Complex is what AI does best. With its analysis that extends human capacity, AI can unlock cancer information that leads us to new revelations that can serve as a key strategy in fighting cancer. Armed with the accurate and appropriate information, we can take a step ahead in the war on cancer. Through AI, we can conquer cancer. We develop AI that detects early-stage cancer and optimizes cancer treatment. Detects with 97-99% accuracy. Accurately detects 10 of the most common findings in a chest x-ray. Improving the most basic and universal diagnostic test. Alleviating the burden in radiology workflow. Lunit INSIGHT CXR covers the vast majority of findings. Accurately detects 10 of the most common findings in a chest x-ray.
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Platforms Supported
Windows
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Mac
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Linux
Supported
Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Cancer and clinical registries, research informatics teams and research sites that need EHR data for research
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Audience
Healthcare providers and clinical professionals looking for an AI solution to identify, detect, diagnose, and treat cancer in patients
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
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Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
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Free Version
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Free Trial
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
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Webinars
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Live Online
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In Person
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Company InformationSaga IT
Founded: 2016
United States
clinicalextract.com
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Company InformationLunit
United States
www.lunit.io/en
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Integrations
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Integrations
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