Data challenges in healthcare and life sciences
Incomplete and inconsistent data
Siloed and inconsistent data prevent organizations from accessing all available data and studying more complete models of patient journeys. This can lead to flawed critical care decisions and treatment strategies.
Duplicate data storage and processes
Legacy data architectures increase the required number of servers and systems that organizations must purchase. This adds to the operational and R&D costs of IT resources, and makes it hard to scale for massive volumes of data.
Complex life science analytics workflows
Limited data warehouse capabilities and different tech stacks impede organizations from using data lake analytics that integrate multi-modal datasets for operational intelligence, machine learning applications, and MedTech services.
Data security and regulatory compliance
Disparate data management, such as Excel spreadsheets by individuals or online cloud drives owned by each laboratory, increases the data security risks. Furthermore, it complicates efforts to comply with cybersecurity management and protection laws.
Analytics-driven medicine for healthcare and life sciences
From analyzing genotype-phenotype, understanding patient journeys, and improving patient care quality, to predictive analytics for therapeutics, you can generate more comprehensive insights with Atgenomix.
Fully managed data and ML platform
One single platform unifies a suite of purpose-built technologies on global open standards, such as Global Alliance for Genomics and Health (GA4GH) and Fast Healthcare Interoperability Resources (FHIR)®, to improve patient and research outcomes with analytics and insights.
Single data lakehouse solution
Atgenomix makes it easier for organizations to combine disparate healthcare datasets and standardize data processing pipelines in the virtual private cloud with enterprise-grade and high-performance tools such as distributed SQL, Machine Learning, data ETL, and much more.
Access to timely data insights at scale
We empower organizations to streamline and accelerate analytics workloads for ingesting, curating, analyzing, and collaborating the full range of diverse and unstructured data such as health records, medical devices, and genomic datasets across the healthcare continuum and ecosystem.
Build on a secure and trusted cloud
Our platform is ISO/IEC 27001 and 27018 certified. It also follows the ISO/IEC 62304 medical device software life cycle processes, and controls data access with workload auditing and role-based access controls. Atgenomix builds with the most secure Microsoft Cloud for Healthcare in accordance with HITRUST, HIPAA, and GDPR requirements.