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Cerner CEO Unveils New Next-Generation Cognitive Platform, Project Apollo

by Fred Pennic 10/08/2019 Leave a Comment

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Cerner CEO Unveils New Next-Generation Cognitive Platform, Project Apollo
Cerner Chairman and CEO, Brent Shafer delivers the keynote speech to over 5,000 attendees at the Cerner Health Conference

– Cerner CEO Brent Shafer unveils their next-generation cognitive health platform named Project Apollo to bring a cognitive approach to practicing medicine.


– Project Apollo will leverage Amazon Web Services (AWS) infrastructure to accelerate the speed that innovations are integrated by removing manual steps for clients.


– CEO also introduced new predictive modeling to reduce opioid abuse, free Cerner Learning Network for clients, and Cerner Seamless Interoperability to give invaluable time back to clinicians.


During his keynote at Cerner Health Conference (CHC), the company’s Chairman and CEO, Brent Shafer, unveiled a next-generation cognitive health platform code-named “Project Apollo.” In addition, Shafer announced new predictive modeling built directly into the opioid toolkit and opened up free access to the company’s training modules.

“Health care will change more in the next five years than it has in the past 30,” Shafer told an audience of 5,000 clients, innovators and other health care industry professionals during the keynote address. “As we have for the past four decades, Cerner’s technology, and collaborative programs, along with the most respected providers, will lead a wave of disruptive innovation focused on making health care better.”

 Project Apollo

Project Apollo brings a more cognitive approach to practicing medicine. Leveraging the powerful combination of its healthcare technology and the AWS infrastructure, Cerner’s new cloud-based platform will accelerate the speed that innovations are integrated by removing manual steps for clients that slow the pace of adoption.

Additionally, Cerner is creating an intelligence ecosystem to innovate next-generation user experiences and care delivery algorithms. This future innovation will support caregivers in giving their full focus to delivering high quality, patient-centric care, supported by the power of Cerner’s intelligent platform. 

Opioid Predictor

Another focus of Shafer’s keynote addressed the ongoing effort to eliminate deaths caused by opioid abuse. It’s estimated that two million Americans live with an opioid disorder. Each day, nearly 130 U.S. citizens die from an opioid overdose. Using artificial intelligence and predictive analytics, Cerner is giving clients an enhanced toolkit that goes beyond prescribing history to identifying potential at-risk patients. As part of his remarks, Shafer issued a challenge to reduce the number of opioid-related deaths by 90%.

“Last year, deaths from opioid overdoses dropped by 5%,” said Shafer. “It was the first time since 1990 the number has declined. Even more progress needs to be made and I appeal to the health care industry to eradicate this epidemic.”

Cerner Seamless Interoperability

As Shafer addressed the international audience, he also introduced dashboards and analytics to improve data interoperability. Stemming from Cerner’s collaborative work in the federal space, the company is soon to roll out “Cerner Seamless Interoperability.” Essentially, the enhancement takes data from connectivity to usability and the new Cerner Seamless Interoperability can help give invaluable time back to clinicians.

Cerner Learning Framework

The company is also rolling out the Cerner Learning Framework—a web-based training platform—available to Cerner clients at no cost.

“We started by asking our clients, ‘what’s in the way of giving your patients the best quality of care,’” said Shafer. “As we constructed our commitments and guiding principles, a relentless focus on our clients’ success became the overriding focus of everything we do at Cerner.”

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Tagged With: algorithms, Amazon, Amazon Web Services (AWS), Artificial Intelligence, Caregivers, Cerner, Cerner Health Conference, cloud, interoperability, Predictive Analytics, risk

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