Royal Philips and Mass General Brigham (MGB) have announced a collaboration aimed at integrating AI and advanced data analytics into clinical workflows.

The partnership seeks to leverage Philips' software platforms to unify active data streaming from bedside medical devices — such as ventilators and monitors — with longitudinal clinical data, including lab results and EHRs. This real-time data integration is poised to enhance patient monitoring and clinical response times.

"By mobilizing previously siloed medical device data into an integrated high-speed, high-resiliency, real-time data fabric, we will be able to deliver the transformative potential of software to the patients who need it most," said Dr. Tom McCoy, medical director of biomedical engineering at Massachusetts General Hospital.
Philips will contribute technologies such as the Capsule Medical Device Information Platform, which consolidates data from multiple devices, and the Clinical Insights Manager, which enables retrospective analysis and algorithm testing. Additionally, Philips Capsule Surveillance will apply continuous algorithmic processing to generate smart alerts that can aid in early clinical intervention.

MGB is integrating expertise from its biomedical engineering team, clinical subspecialists, digital teams, and AI business unit (Mass General Brigham AI) to enhance data insights, improve system interoperability, and develop algorithms capable of identifying patient-cohort patterns. These insights will be used to generate alerts for timely clinical interventions.

An initial research focus of the collaboration involves patients undergoing continuous heart monitoring. By analyzing real-time cardiac data, the program aims to improve early detection of cardiac events, potentially reducing complications and expediting treatment.

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