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What is Syntropy?

Syntropy is a powerful cloud-native platform tailored for organizations in healthcare and life sciences, enabling the seamless integration, harmonization, analysis, and enhancement of complex biomedical and clinical datasets. It creates a unified environment that eliminates internal silos and fosters collaboration with external partners, facilitating data orchestration that includes tailored access controls, thorough provenance tracking, and meticulous governance. The platform encompasses complete workflows that begin with data intake and ingestion, advance through semantic mapping and harmonization, and conclude with sophisticated analytics and automated workflows. This functionality empowers researchers, clinicians, and partner organizations to derive significant insights from vast datasets while preserving the integrity of the original data. Syntropy places a strong emphasis on transparency, accountability, and secure collaboration; data owners retain authority over their sharing preferences, all activities are carefully audited and attributed, and the platform complies with vital regulatory standards such as HIPAA, GDPR, and GxP. By prioritizing these elements, Syntropy seeks to transform the ways in which healthcare and life sciences entities utilize data, ultimately leading to enhanced outcomes and fostering innovation. The platform not only enhances operational efficiency but also fosters an environment where collaborative breakthroughs can thrive.

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.

Media

Media

Integrations Supported

Python
R

Integrations Supported

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

Syntropy

Company Location

United States

Company Website

www.syntropy.com

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

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

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

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