Cerner expands AWS relationship with new machine learning initiatives

Cerner has chosen Amazon Web Services in an expansion of their ongoing collaboration. Cerner is now mainly focusing on data analytics, Mission learning, and artificial intelligence. Cerner also stated that they will continue to use AWS technologies to improve patient and provider experience, to boost population health efforts and tackle healthcare costs.

Cerner will work to shift its core applications to AWS as part of the collaborative agreement. The company is also standardizing its AI and machine learning workloads on AWS to develop new predictive technology.  One focus of this new initiative is the Cerner Machine Learning Ecosystem – a platform built using Amazon SageMaker, Amazon Simple Storage Service, AWS Lambda, Amazon Simple Queue Service, AWS Step Functions, and Amazon CloudWatch.

Cerner CEO Brent Shafer stated that “it was able to serve by applying machine learning to historical data migrated to the AWS Cloud. It developed a model that helped the healthcare system reach the lowest readmission rate in more than a decade.”

This move by Cerner will help healthcare data scientists to build, monitor, and manage the models at a larger scale, and to help them find more predictive and digital diagnostic insights for earlier health interventions. Among the first new machine learning initiatives AWS and Cerner will tackle are readmission prevention and clinician burnout.