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ease
features
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support

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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

There are various strategies to reduce costs within an IT department, but one of the most effective and insightful approaches is to enhance employee productivity. By adopting streamlined work practices, organizations can ensure ongoing savings and improvements. Kal Admin is an essential tool utilized by numerous Analysts, Developers, QAs, and DBAs within Israel's public sector. The software features a Data Dictionary, which serves as a central repository for Business Analysts to document the definitions and descriptions of data elements crucial for fulfilling user requirements, and it also accommodates business terminology. This Dictionary plays a vital role in the subsequent development of database tables. With Kal Admin, users can outline tables without needing to create them in the database immediately, as the columns are specified through the Data Dictionary. Once these defined tables successfully clear quality assurance checks, they can be constructed in the database with just a single click, greatly simplifying the process. Ultimately, this efficiency not only reduces costs but also enhances overall project delivery in the IT sector.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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

Customer Support

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

Customer Support

Business Hours Yes 
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 No 
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

Kalrom Systems

Founded

2008

Country

Israel

Website

www.kalromsystems.com

Product Features

Product Features

Database

Backup and Recovery No 
Creation / Development Yes 
Data Migration No 
Data Replication No 
Data Search Yes 
Data Security Yes 
Database Conversion No 
Mobile Access Yes 
Monitoring Yes 
NOSQL Yes 
Performance Analysis No 
Queries Yes 
Relational Interface No 
Virtualization No 

Alternatives

No Alternatives

Alternatives

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