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What is SAS Health?

Elevate your digital transformation efforts while unlocking critical insights from your data with tailored health analytic solutions. With its user-friendly drag-and-drop interface, the SAS Health Cohort Builder empowers users to create and query cohorts based on temporal connections without requiring any coding experience. This intuitive tool facilitates the exploration of cohort characteristics and the effects of various inclusion or exclusion criteria on patient populations, aiding in the evaluation of study feasibility. Users can conveniently save cohort definitions for future applications, adjust them as necessary, and utilize them across various real-world data sources for comparative studies, ultimately saving both time and resources in the research process. Moreover, findings can be validated and further examined through in-memory processing and visualization capabilities within SAS or via other platforms like R, Python, as well as a range of third-party visualization tools. Conversely, SAS Health: Episode Builder grants you the flexibility to view and adjust episode definitions directly, putting you in control of the entire process. With SAS’s comprehensive documentation outlining the logic behind generating episodes of care, you can have confidence in the transparency and auditability of the underlying business rules, enhancing the integrity of your health data analytics. This blend of features not only streamlines the analytic process but also significantly positions SAS as a premier solution in the field of health analytics, making it an invaluable asset for healthcare professionals.

What is Clinical Extract?

Clinical Extract can efficiently obtain research data from any electronic health record system that utilizes a certified bulk FHIR API, including well-known platforms such as Epic, Oracle Health (Cerner), athenahealth, eClinicalWorks, MEDITECH, NextGen, and Veradigm. The tool functions as a SMART Backend Services client within your existing infrastructure, employing read-only permissions and enabling the export of only the specified study group through a Group $export. It converts NDJSON into a detailed CSV format, complete with a data dictionary that correlates each column to its corresponding FHIR element, all while ensuring that patient data stays securely within your environment. Tailored specifically for cancer and clinical registries, it supports coded case and abstraction fields in line with the NAACCR layout and addresses the requirements of research informatics teams and ethical brokers by providing study-specific data collections alongside an IRB-compliant data dictionary. Additionally, it aids research sites in evaluating clinical trial feasibility based on established coded criteria. Among its key capabilities are a cohort builder, roster extraction using FHIR $match, and the creation of both the CSV and data dictionary, plus a specialized oncology perspective that highlights biomarkers and TNM stage as distinctly labeled columns for straightforward analysis. This holistic method significantly improves the accessibility and applicability of essential health data for a variety of research initiatives, thereby streamlining the overall research process. Ultimately, Clinical Extract serves as a vital resource for enhancing the efficiency and effectiveness of health data research.

Media

Media

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Integrations Supported

Python

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

www.sas.com/en_us/software/health.html

Company Facts

Organization Name

Saga IT

Date Founded

2016

Company Location

United States

Company Website

clinicalextract.com

Categories and Features

Categories and Features

Healthcare Analytics

Not specified

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