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What is SAS Life Science Analytics Framework?

Only SAS provides a thorough, cloud-based platform for statistical analysis in clinical research, equipped with integrated analytic tools, compliance with data standards, and optional analytic applications. This robust framework significantly boosts your ability to modernize workflows and speed up the launch of innovative therapies, which can lead to better health outcomes. Through a collaborative environment, information management and analysis become more efficient, allowing for streamlined processes and quicker delivery of trial results to regulatory authorities. It is a comprehensive solution for clinical analysis and submission, covering all essential elements for validation, regulatory compliance, version control, audit trails, and documentation support. The platform promotes automation via customizable workflows, accommodates existing and future integrations, and guarantees the application and oversight of data standards and controlled terminology. Furthermore, it includes a centralized hub for all incoming data, automates the assessment of data quality, improves data management practices, and refines analytical data for enhanced accuracy, thereby fostering more insightful outcomes. By empowering clinical researchers with these essential tools, SAS enables them to adeptly navigate the challenges posed by modern research and regulatory landscapes. This ultimately leads to more effective and timely advancements in healthcare solutions.

What is CIMS Global?

CIMS Global offers cutting-edge data science platforms and eClinical solutions aimed at revolutionizing the clinical trial landscape by improving the quality, efficiency, and speed of key processes such as data collection, analysis, monitoring, and regulatory submissions. Their suite of innovative tools includes CRE, DDM, DMC-HUB, and eBinder, along with a complete eClinical Suite designed to support data gathering, analytics, and clinical operations throughout every stage of a trial. Specifically, CRE functions as a multi-tenant, validated Statistical Computing Environment tailored for compliant clinical data analysis, utilizing R, RShiny, and the RStudio IDE within a secure audit-ready framework that complies with 21 CFR Part 11 and GxP regulations. DDM emerges as a patented Dynamic Data Monitoring platform that provides visual insights into cumulative treatment effects through a trial radar screen while also predicting the likelihood of trial success or failure. Moreover, the seamless integration of these advanced solutions not only reinforces CIMS Global's leading position in clinical trial technology but also empowers researchers to attain the best possible outcomes in their studies. This commitment to innovation ensures that every aspect of clinical trial management is streamlined and data-driven.

Media

Media

Integrations Supported

R
Python
RStudio

Integrations Supported

R
Python
RStudio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

www.sas.com/en_us/software/life-science-analytics-framework.html

Company Facts

Organization Name

CIMS Global

Date Founded

2004

Company Location

United States

Company Website

cims-global.com

Categories and Features

Categories and Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Electronic Data Capture

Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management

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