Mike Miliard

Before joining the EHR giant, Labat served as chief technology officer and led the cloud-automation business for HPE Software. Prior to that, he spent two decades at Oracle. 

John Halamka describes how clinicians at Mayo are benefiting from machine learning-powered approaches to imaging, predictive analytics and other types of decision support – and using machine learning to mine historical data for new treatments.

Built on Google Cloud, the platform is meant to help healthcare organizations and government agencies share data and best practices about treatments and reopening strategies.

The public-private partnership has been re-upped for another year as Sequoia continues to help implement and build out community support for TEFCA.

In its new report, the research firm rates clinical optimization services for their ability to alleviate clinician burnout by streamlining workflows, boosting application performance and improving training.

Working Well, designed to support evolving clinical protocols, enables contact tracing and can be configured to organizations' own specific back-to-work needs.

The collaboration aims to help health systems manage resource allocation and offer situational awareness for facilities as they open up and reschedule delayed surgeries and other procedures.

As telehealth surges and patients get used to the new normal of remote consults, its new machine learning technology can give them tailored after-visit summaries.

“One of the most apparent shifts we’ve seen is how COVID-19 is spurring the move to virtual care,” said Caroline Clarke, Executive Vice President and Market Leader, Philips ASEAN Pacific.

Revenue-cycle vendor Conifer Health and architecture and design firm Gensler are among the other new members on the platform, which offers digital health resources to hospitals as they race to roll out virtual care, remote monitoring, chatbots and more.