Sam Brusco, Associate Editor03.15.22
Today at HIMSS22 GE Healthcare unveiled Edison Digital Health Platform, a vendor-agnostic hosting and data aggregation platform with an artificial intelligence (AI) engine. The platform aims to deploy clinical, workflow, analytics, and AI tools to support improved care delivery, high-efficiency operations, and increase revenue growth.
Edison Digital Health Platform will accelerate app integration via connecting devices and other sources of data into an aggregated clinical data layer. The platform will offer data transformation tools to support analytics and enable AI model training and deployment using the aggregated data.
Open and published interfaces will allow application deployment, with the platform supporting app integration into existing workflows. GE Healthcare will also integrate and deploy its own apps on the platform.
“Edison Digital Health Platform is being designed to enable healthcare systems to have a single platform on which to host and integrate apps into clinical workflows,” Amit Phadnis, chief digital officer of GE Healthcare told the press. “With easy access to the workflow, analytics, and clinical apps specific to care across the care continuum, clinicians will have actionable insights at their fingertips to help better serve their patients.”
IT departments will benefit from a one-time connection to multiple databases (like EMR) during first integration. Subsequent apps are expected to connect with less effort. Providers can select best-in-class and preferred apps safely and securely without multiple individual integrations or being locked into one vendor.
The platform is being designed to scale across cloud, server, data center, or on-device deployment.
“We expect Edison Digital Health Platform to be a game-changer for clinicians, particularly as it relates to patient data,” said Dr. Felix Nensa, a consultant radiologist at the University Hospital Essen and group leader at the Institute for Artificial Intelligence in Medicine. “They will have the ability to have all of their patients’ data indexed and aggregated in one place, saving hours of time by reducing the need to search across various, disparate systems to access relevant patient information.”
Edison Digital Health Platform will accelerate app integration via connecting devices and other sources of data into an aggregated clinical data layer. The platform will offer data transformation tools to support analytics and enable AI model training and deployment using the aggregated data.
Open and published interfaces will allow application deployment, with the platform supporting app integration into existing workflows. GE Healthcare will also integrate and deploy its own apps on the platform.
“Edison Digital Health Platform is being designed to enable healthcare systems to have a single platform on which to host and integrate apps into clinical workflows,” Amit Phadnis, chief digital officer of GE Healthcare told the press. “With easy access to the workflow, analytics, and clinical apps specific to care across the care continuum, clinicians will have actionable insights at their fingertips to help better serve their patients.”
IT departments will benefit from a one-time connection to multiple databases (like EMR) during first integration. Subsequent apps are expected to connect with less effort. Providers can select best-in-class and preferred apps safely and securely without multiple individual integrations or being locked into one vendor.
The platform is being designed to scale across cloud, server, data center, or on-device deployment.
“We expect Edison Digital Health Platform to be a game-changer for clinicians, particularly as it relates to patient data,” said Dr. Felix Nensa, a consultant radiologist at the University Hospital Essen and group leader at the Institute for Artificial Intelligence in Medicine. “They will have the ability to have all of their patients’ data indexed and aggregated in one place, saving hours of time by reducing the need to search across various, disparate systems to access relevant patient information.”