Cost-effective, scalable, and secure compute, storage, and database capabilities to accelerate time to science from benchtop to bedside.
E-book: How cloud technology is making personalized healthcare possible
Leading health organizations are solving IT challenges by migrating mission-critical operations to AWS. Download the eBook and discover how you can shape the future of healthcare with purpose-built solutions from AWS.
Speed and scalability drive insights to innovate targeted therapies
With AWS, researchers can quickly analyze massive data pipelines, store petabytes of data, and advance research using transformative technologies like artificial intelligence (AI), machine learning (ML), and quantum computing. Researchers can then share their results with collaborators around the world to ultimately improve patient outcomes.
Medical research use cases
Medical research
AWS solutions support researchers’ need for increased computing power and various options for handling complex data at higher rates of production and consumption.
AWS solutions
Solution: Service Workbench on AWS
Service Workbench on AWS helps democratize access to cloud computing for researchers and teachers. With Service Workbench, researchers can quickly and securely provision and access research environments and conduct experiments with peers. By automating setups, simplifying data access, and providing price transparency, researchers can focus on their work and achieve quicker results.
Guidance: REDCap on AWS
REDCap (Research, Electronic, Data Capture) is an NIH-funded, free, secure web application for building and managing online surveys and databases used by over 3,000 institutions and is cited in more than 6,000 journal articles. While REDCap can be used to collect virtually any type of data (including in 21 CFR Part 11, FISMA, and HIPAA-compliant environments), it is specifically geared to support online or offline data capture for research studies and operations. The REDCap Consortium is a vast support network of thousands of institutional partners from over one hundred countries.
Guidance: OHDSI OMOP
OMOP can consolidate data from many sources, like Electronic Health Record (EHR) systems and administrative claims data, from many geographic regions, into a common data model.
Featured customers
Ava brings together artificial intelligence and clinical research to improve women’s reproductive health. The company builds its technology platform for collecting personal health information on AWS and relies on a variety of Amazon services, including MongoDB, to securely manage more than 300 TBs of data and scale to support daily traffic peaks on its platform.
Munich Leukemia Lab (MLL) is a diagnostics and research institution whose mission is to find a cure for leukemia and lymphoma. MLL uses state-of-the-art molecular and IT-supported methods to shape the future of hematological diagnostics and therapy. Using AWS, MLL reduces the turnaround time to process patient genome data from 20 hours to 3 hours, helping accelerate research and improve diagnosis of leukemia.
Genomics England—a company owned by the Department of Health & Social Care to run the 100,000 Genomes Project, which aims to sequence 100,000 genomes from NHS patients with a rare disease and their families, and patients with cancer—turns to AWS to deliver its next-generation genomics research platform in the fight against COVID-19. The platform helps researchers quickly and securely launch responses for critical public services.
Featured partner solutions
"Deloitte and AWS bring significant health care experience together with advanced technology including machine learning, artificial intelligence and health care specific offerings. The union of the two organizations has delivered advanced, market relevant services available to the health care industry."
Featured consulting partners
AWS Marketplace can help healthcare organizations leverage scalable and reliable solutions to advance medical research.
Featured resource
Find out why health research organizations are turning to AWS to accelerate the pace of innovation.
