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Philips dives into machine learning with several RSNA unveilings

by John W. Mitchell, Senior Correspondent | November 29, 2016
Health IT RSNA

“PerformanceBridge pulls information directly from the machines,” said Sokka. This, he noted, bypasses inaccurate human record keeping that can result in “dirty”, or inaccurate, information needed for process improvement.

“Most radiology departments have these kinds of problems,” Sokka added. “PerformanceBridge identifies the most common eight to ten areas where we can get process improvement to provide better patient care and control costs.”

DoseWise Portal 2.2 is Philip’s subscription software solution for protecting patients and clinical staff from unnecessary radiation exposure. The tracking and alert systems compile regulatory data and serves as an education tool for better and best practices. The PACS-integrated platform is vendor-agnostic, meaning it will interface with all imaging equipment, regardless of manufacturer.

“We’ve gone through XR-29, JCR, MACRA rules and recent European Directives to come up with 12 radiation dose metrics that must be collected and observed,” said Dominic Siewko, Clinical Marketing Leader and former radiation safety officer for Philips. “We collect and present this data in real time, not once a month or quarter when a nuclear physicist makes a report.”

This feedback also offers wide-ranging medical insights. Examples include how dose might need to change in a year if a patient has gained significant weight between scans,or DoseWise Portal finds out how many total CT scans and corresponding radiation exposure a cancer patient has received. Knowing the dose gives better insight into safer diagnostic and treatment strategy.

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