Philips and Mass General Brigham Team Up to Revolutionize Patient Care with AI-Powered Insights

In a groundbreaking move, Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Mass General Brigham (MGB), home to one of the largest hospital system-based research enterprises in the US, have announced a new collaboration to develop and deploy advanced data infrastructure and AI. This innovative partnership aims to integrate and process live healthcare data from various sources, ultimately improving patient care.

Today's healthcare providers often rely on disparate data sources, including static Electronic Medical Record (EMR) data, clinical notes, and isolated device alarms. By streaming accurate, reliable, and detailed data from medical devices and other sources, Philips and MGB aim to create a scalable, unified, near real-time data and insights ecosystem. Powered by Philips' software platforms, this collaboration seeks to enable clinicians to capture, analyze, and react to data as it becomes available, potentially enhancing the effectiveness and efficiency of patient care.

Dr. Tom McCoy, Medical Director of Biomedical Engineering at Massachusetts General Hospital, emphasizes the significance of this collaboration: "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."

The collaboration will leverage a combination of Philips' technologies to unify active data streaming from medical devices at the bedside, such as ventilators and monitors, with other longitudinal clinical data, such as lab results and EMR data. This will create a comprehensive and actionable data environment. Philips Capsule Medical Device Information Platform will bring together data from different devices, allowing Philips Clinical Insights Manager to facilitate retrospective analysis and testing, and Philips Capsule Surveillance to leverage continuous algorithmic processing to deliver smart alerts into live clinical practice.

For the collaboration, Mass General Brigham is bringing together the expertise of its biomedical engineering team, clinical sub-specialists, digital teams, and internal AI business unit (Mass General Brigham AI) with Philips' research and business teams. The joint effort will deliver data insights, enhance data integration, and foster the development of new algorithms capable of identifying patient-cohort patterns and generating smart alerts for clinical intervention. These alerts will provide clinicians with actionable insights at critical moments to support better patient care.

An initial research program as part of the collaboration focuses on patients undergoing continuous, real-time heart monitoring. By analyzing this data, the research aims to improve early detection of cardiac events and other critical health issues, potentially saving lives and expediting treatment.

Betsabeh Madani Hermann, Global Head of Research at Philips, further elaborates on the potential of this collaboration: "By developing predictive data analytics and AI algorithms, key tools for enhancing patient care, we're empowering clinicians and supporting better care for more people."



In conclusion, the collaboration between Philips and Mass General Brigham represents a significant step forward in integrating advanced data analytics into clinical practice. By harnessing the full potential of AI and medical device data, this partnership aims to advance patient safety, operational efficiency, clinician ergonomics, and open new discovery possibilities. Together, they are empowering clinicians and supporting better care for more people.