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How Cloud is Revolutionizing the Healthcare Industry
AWS allows one to store massive amounts of healthcare data. Amazon Redshift is an example of a support system that can be used in tandem with DNA sequencing machines.
Fremont, CA: In an ever-changing landscape, healthcare organizations must keep up with healthcare innovations in order to reap their benefits. Amazon Web Services (AWS) aims to provide essential support to healthcare professionals, from rapidly processing genome information to storing large amounts of data and enabling global collaboration so that they are better equipped to discover and collaborate to help save lives around the world. These AWS benefits are divided into five categories: functionality, community, security, speed of innovation, and operational expertise.
AWS can have far-reaching effects to help customers on both local and international fronts, in addition to being able to improve workflows within an organization. It is also critical in the healthcare industry to be able to facilitate the flow of both healthcare information and expertise around the world. Cerner, a leading provider of health information technology solutions, is one of many companies that benefit from AWS' global reach and services. The AWS Cloud community provides a diverse virtual meeting space for innovators from various industries to share their experiences and ideas and collaborate to solve healthcare-related issues.
AWS allows one to store massive amounts of healthcare data. Amazon Redshift is an example of a support system that can be used in tandem with DNA sequencing machines. This enables the storage of over ten petabytes of genomics data. One can also run other software on the AWS Cloud system for improved performance, allowing one's infrastructure to process and analyze large genomic datasets. This greatly accelerated operations within healthcare organizations, reducing the time required to interpret a genome from 12 weeks to two hours.
Amazon Elastic Compute Cloud (Amazon EC2) accelerates the speed of a genomics dataset, lowering the cost of sequencing a single genome significantly. This quick turnaround time has also aided in the acceleration of leukemia research and diagnosis, potentially saving dozens of lives.