Healthcare and Life Sciences

> Healthcare and Life Sciences

Deliver value-based patient care with the power of data and machine learning.

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.