Syntropy at HLTH 2023

The Syntropy team is excited to engage with healthcare innovators, industry leaders, and potential partners at HLTH 2023. Meet with our experts and discover how Syntropy is revolutionizing research collaboration through seamless data integration, standardized data harmonization, actionable analysis, and powerful workflow optimization.

Schedule a Meeting with Our Experts

Provide your contact information and our team will reach out to schedule a meeting during HLTH 2023.

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The Syntropy Team at HLTH

Connect with our experts to learn how Syntropy accelerates research while maintaining robust data governance, privacy, and security.

Michael Vande Vrede
Head of Digital Products

Sean Thomas
Head of Medical

Mark Roche
Executive Director, Health Informatics

Simplified Governance

Secure

A zero-trust environment allows organizations to safeguard sensitive information while increasing collaboration.

Compliant

Syntropy’s security enables regulatory requirements across customers by aligning with frameworks like HIPAA, GDPR, 21 CFR Part 11, GxP, and more.

Auditable

Actions are meticulously tracked with clear ownership, promoting accountability and transparency, while also allowing for effortless version control.

Automated

Data integrations, workflows, and health checks can be executed automatically, ensuring the detection and resolution of issues.

A Catalyst for Collaboration

Transform your healthcare organization with Syntropy - the cutting-edge platform that enables seamless integration, standardized transformation, insightful analysis, and workflow optimization.

Syntropy offers a secure ecosystem for health systems to collaborate internally across departments and externally with research partners. With purpose-based access control, comprehensive data lineage, and research acceleration tools, Syntropy unlocks the value of healthcare data for better patient outcomes that compound over time.

“The benefit of secure data collaboration really gets to the big vision. Syntropy allows us to look at health problems differently and to solve them faster.”

Dr. Daniel Chow
Co Director for AI in Diagnostic Medicine, Radiological Services
University of California at Irvine

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