Philips and Mass General Brigham announce collaboration to improve patient care with live AI-powered insights

Healthcare providers frequently depend on fragmented data sources, such as static Electronic Medical Records (EMRs), clinical notes, and isolated device alarms. By streaming precise, reliable, and detailed data from medical devices and other sources, Philips and MGB seek to establish a scalable, unified ecosystem that delivers near real-time data and insights. Utilizing Philips' software platforms, this collaboration aims to empower clinicians to capture, analyze, and respond to data as it becomes available, ultimately enhancing the efficiency and effectiveness of patient care.

"This exciting collaboration marks a key step forward in healthcare innovation, harnessing the full potential of AI and medical device data to advance patient safety, operational efficiency, clinician ergonomics, while opening new discovery possibilities."

- Dr. Tom McCoy, Medical Director of Biomedical Engineering at Massachusetts General Hospital

This groundbreaking collaboration represents a major advancement in healthcare innovation, leveraging AI and medical device data to enhance patient safety, operational efficiency, and clinician ergonomics while unlocking new possibilities for medical discovery.

"By integrating previously siloed medical device data into a high-speed, highly resilient real-time data framework, we can harness the transformative potential of software to benefit the patients who need it most," said Dr. Tom McCoy, Medical Director of Biomedical Engineering at Massachusetts General Hospital.

The partnership will utilize a suite of Philips technologies to unify real-time data streaming from bedside medical devices, such as ventilators and monitors, with longitudinal clinical data, including lab results and Electronic Medical Records (EMRs). The Philips Capsule Medical Device Information Platform consolidates data from various devices, enabling Philips Clinical Insights Manager to conduct retrospective analysis and testing, while Philips Capsule Surveillance applies continuous algorithmic processing to generate intelligent alerts for clinical use.

Mass General Brigham contributes the expertise of its biomedical engineering team, clinical sub-specialists, digital teams, and internal AI division (Mass General Brigham AI), working alongside Philips’ research and business teams. This collaboration will enhance data integration, generate valuable insights, and develop new AI-driven algorithms capable of recognizing patient cohort patterns and delivering timely smart alerts for clinical intervention. These alerts will provide clinicians with actionable insights at critical moments, ultimately improving patient outcomes.

An initial research program within the collaboration focuses on continuously monitoring cardiac patients in real-time. By analyzing this data, the study aims to improve early detection of cardiac events and other critical health issues, potentially saving lives and accelerating treatment.

"This partnership between Philips and Mass General Brigham marks a significant leap in integrating advanced data analytics into clinical practice," said Betsabeh Madani Hermann, Global Head of Research at Philips. "By developing predictive analytics and AI algorithms, we are equipping clinicians with essential tools to enhance patient care, ensuring better health outcomes for more people."