Philips (USA) - Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in healthcare technology, and Mass General Brigham (MGB), one of the largest research hospital institutions in the United States, have announced a new collaboration to integrate artificial intelligence (AI) and advanced data analytics into clinical care. The goal is to improve the quality of healthcare by providing real-time insights through a unified platform.

Currently, healthcare professionals rely on multiple fragmented data sources, such as electronic medical records (EMR), clinical notes, and isolated alarms from medical devices. With this partnership, Philips and MGB aim to create a unified and scalable data ecosystem capable of providing reliable and detailed information in near real-time.

Digital Transformation in Clinical Practice

The partnership will utilize Philips’ software platforms to continuously capture, analyze, and deliver relevant clinical data, enabling doctors to make faster and more effective decisions.

"This collaboration represents a crucial step in healthcare innovation, harnessing the full potential of AI and medical device data to improve patient safety, operational efficiency, and clinician experience, while also opening new possibilities for discovery," said Dr. Tom McCoy, Chief Medical Officer of Biomedical Engineering at Massachusetts General Hospital.

The initiative will leverage Philips technologies to consolidate active data streams from bedside medical devices such as ventilators and monitors, combining them with other clinical information like lab results and EMRs. Philips’ Capsule Medical Device Information Platform will facilitate data collection, while Philips Clinical Insights Manager will enable retrospective analysis, and Philips Capsule Surveillance will use continuous algorithms to generate real-time smart alerts.

Impact on Patient Care

Mass General Brigham will contribute its expertise in biomedical engineering, specialized clinical teams, digital areas, and its AI unit (Mass General Brigham AI), working alongside researchers and business teams from Philips. The aim is to develop new algorithms capable of identifying patterns in patient groups and generating smart alerts for clinical interventions.

One of the first research projects resulting from this collaboration focuses on patients undergoing continuous real-time cardiac monitoring. Analyzing this data could improve the early detection of cardiac events and other critical health issues, potentially saving lives and accelerating treatment.

"By developing predictive analytics and AI algorithms, we are creating essential tools to improve healthcare, empowering doctors and ensuring more effective care for a larger number of people," said Betsabeh Madani Hermann, Global Director of Research at Philips.

This collaboration marks a significant advance in integrating artificial intelligence into clinical care, reinforcing the importance of technology in modernizing and optimizing healthcare services.