AWS for Industries
Author: Sam Coker
Sanford is the Worldwide Technical Lead for Healthcare at AWS. In this role, he is challenged with coordinating and creating a unified technical healthcare roadmap for AWS and their customers. Sam has a long and varied background in academic research computing as well as hospital operations. Starting at the University of Kansas getting to design and build the 6th HPC cluster, and continuing that work in molecular modelling with Schrodinger LLC and The Rockefeller University. Looking for new challenges he moved to hospital IT operations running and designing clinical systems at Weill Cornell Medical College. These included early work with LIMS, PACS/VNAs and Epic electronic medical records. This led to the opportunity of engineering and operational responsibility of all clinical systems at NYU Langone Medical Center. After surviving 2 major black outs, 2 hurricanes and a super storm named Sandy, he received a lot of practice and experience in designing, running and restoring complex healthcare systems.
Amazon delivers leading Epic database performance in public cloud for healthcare
AWS has, again, increased scalability of global references per second (GRref/s) for Epic on AWS customers. This represents a 260% increase since being approved as a public cloud provider for Epic customers starting in 2019. Amazon EC2 M6i instances provide this step-change in performance, resulting in the highest GRref/s scaling in the public cloud. The AWS […]
Securing telehealth’s future with Veritas and AWS
Healthcare has a long tradition of providing telehealth and telemedicine solutions, but COVID-19 has accelerated the practice into the future. Moving from convenience to necessity, modern telehealth solutions have saved countless lives during the worst pandemic of our generation. Organizations are now moving beyond telehealth deployment to sustainable, long term practices. Telehealth today offers an […]
Building the foundation for Lab of the Future using AWS
Life science industries are transitioning from wet lab environments to digital labs. Digital labs decrease the “time to science” and de-risk R&D portfolios. Customers see computational methods as a way to increase the performance, throughput, and effectiveness of laboratory operations. This presents opportunities around long-standing challenges with experiment reproducibility and the ability to address lab […]