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The Cardiac Workstation leverages algorithms to access, analyze, and manage ECG data remotely or at the point of care.
June 11, 2024
By: Sam Brusco
Associate Editor
Philips has introduced Cardiac Workstation, a new cardiac care platform to accelerate clinical decision-making and care for cardiology patients, in Europe, Middle East and Africa. The Cardiac Workstation leverages algorithms to access, analyze, and manage electrocardiograph (ECG) data remotely or at the point of care. It aims to improve diagnostic cardiology by streamlining collection of data and lowering administrative workload, according to the company. It features gesture-driven interactions so clinicians can review and interpret ECGs as if they were using a smartphone. The interface has a three-step workflow to help minimize data entry errors and quickly capture, analyze, and export accurate ECGs. Demographic information and deep clinical data can be accessed and viewed, like zooming on views of irregular rhythms or scrolling through ECGs to spot trends. Side-by-side comparisons of current and past ECGs can also be viewed side-by-side when used with the Intellispace ECG management system. Cardiac Workstation integrates with enterprise systems beyond Intellispace ECG or current departmental systems. It also integrates with electronic medical record and system technology so ECG data can be shared throughout the organization. “A common theme I hear from care providers and hospital administrators is that they seek ways to alleviate their care teams’ workload without sacrificing the quality of patient care. To achieve that, they need access to the right information at the right time, wherever their point of decision may be,” said Stefano Folli, Business Leader, Ambulatory Monitoring & Diagnostics, Philips. “That’s the beauty of Philips Cardiac Workstation. It helps streamline workflow using advanced algorithms to access and analyze ECG from anywhere, paving the way to more efficient and effective patient care by enabling clinicians to quickly identify and prioritize the most at-risk patients.”
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