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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 Cloudbyz Safety and Pharmacovigilance (PV)?

The Cloudbyz Safety & Pharmacovigilance Solution is a cloud-based platform tailored to enhance drug safety and pharmacovigilance for companies in the pharmaceutical and life sciences sectors. This innovative solution automates the entire workflow of data collection, processing, analysis, and reporting in adherence to global regulatory standards. Cloudbyz offers comprehensive management of the pharmacovigilance lifecycle, encompassing adverse event processing, case management, regulatory reporting, signal detection, and risk management. By utilizing Cloudbyz, organizations can streamline their pharmacovigilance operations, expedite case processing, and boost the precision of their safety data, all while mitigating risks and ensuring compliance with regulations. Additionally, the advantages of our solution include: 1. Enhanced efficiency through automation 2. Improved accuracy of data 3. Immediate visibility into processes 4. Better collaboration among teams 5. Strengthened adherence to regulatory requirements Furthermore, adopting this solution empowers organizations to focus on innovation and patient safety, ultimately leading to improved outcomes in drug monitoring.

Media

Media

Integrations Supported

Cloudbyz CTMS
Cloudbyz EDC
Cloudbyz eTMF
Python
R

Integrations Supported

Cloudbyz CTMS
Cloudbyz EDC
Cloudbyz eTMF
Python
R

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

Cloudbyz

Date Founded

2014

Company Location

United States

Company Website

www.cloudbyz.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

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