> Genomics & Health Data Service

SeqsLab Genetics & Health Data Service

A computable representation of biomedical data for precision medicine

From laboratory information management and translational research analysis, to diagnostic interpretation and healthcare reporting, the biomedical industry, including biobanks, clinical laboratories and healthcare providers, needs to systematically manage data across a comprehensive landscape of workflow applications. It all starts with a data management system purpose-built for the workflows of precision medicine.

 

SeqsLab Genomics and Health Data Service is a suite of standard-based technologies for streamlining sophisticated data management and computational analysis of biomedical and multi-omics information. It provides HL7 Fast Healthcare Interoperability Resources (FHIR®) compatibility and the Global Alliance for Genomics and Health (GA4GH) Phenopackets standard for facilitating workload information management, actionable analytics, and exchange of data with compliant API.

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Build on a trusted and secure cloud

Atgenomix SeqsLab Genomics and Health Data Service is ISO/IEC 27001 and 27018 certified, and is built on Microsoft Cloud for Healthcare in accordance with HIPAA and GDPR requirements. It also follows FDA and MDCG cybersecurity guidance to control access of clinical data and biomedical records with role-based access controls and audits within a compliance boundary.

HL7 Fast Healthcare Interoperability Resources

HL7 FHIR is an open standard for healthcare data exchange and a data model that enables data interoperability for systems using FHIR®.

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GA4GH Phenopackets

GA4GH Phenopackets standard is an open-standard data model that offers a human and machine-readable way to store phenotypic data about a patient or individual. The information can then be shared across clinical and research environments or used for computational analyses.

Compliant REST API

The SeqsLab Healthcare API and compliant data store provides a robust and extensible data service, backed by a fully-managed Platform-as-a Service (PaaS), that makes it easier for all users and systems working together to consume, manage, and analyze biomedical and multi-omics information. It simplifies workload management and accelerates development with analytics and machine learning tools.

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