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Amazon Omics

Transform genomic, transcriptomic, and other omics data into insights
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What is Amazon Omics?

It helps healthcare and life science organizations store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries.
Amazon Omics is a tool in the Healthcare category of a tech stack.

Amazon Omics Integrations

Amazon Omics's Features

  • Securely combine the multiomic data of individuals with their medical history to deliver more personalized care
  • Use purpose-built data stores to support large-scale analysis and collaborative research across entire populations
  • Accelerate research by using scalable workflows and integrated computation tools
  • Protect patient privacy with HIPAA-eligibility and built-in data access and logging

Amazon Omics Alternatives & Comparisons

What are some alternatives to Amazon Omics?
FHIR
It is a standard for health care data exchange, published by HL7. Interoperability protocol that qualifies for MACRA and 21st Century Cures laws.
Google Cloud Healthcare API
Bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies.
DHIS2
It is the flexible, web-based open-source information system with awesome visualization features including GIS, charts and pivot tables.
NextGen Connect
It is a cross-platform interface engine used in the healthcare industry that enables the management of information using bi-directional sending of many types of messages. The primary use of this interface engine is in healthcare.
OpenEMPI
In order for an organization to be able to aggregate and manage clinical data on behalf of a patient, it is of utmost importance that the organization is able to accurately identify distinct patients whose data is collected across multiple sources. The presence of duplicate patient demographic records in a system introduces many inefficiencies and costs to an organization. Various industry studies have concluded that the rate of duplicate records in a typical Electronic Medical Record system ranges between 5 and 20 percent of all patient records. By using OpenEMPI, an organization can quickly and accurately identify and resolve duplicate records in their systems, resulting in improved quality of care and considerable cost savings.
See all alternatives
Related Comparisons
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