Royal Philips and Massachusetts General Brigham (MGB) have partnered to develop and deploy AI and advanced data infrastructure to enhance patient care by integrating and processing live healthcare data.

The partners aim to create a scalable, unified data ecosystem that will allow clinicians to capture, analyse and respond to patient data almost in real-time.

Healthcare providers often face challenges caused by disparate data sources such as clinical notes, static electronic medical record (EMR) data and isolated device alarms.

Royal Philips and MGB seek to address these issues by streaming precise and detailed data from medical devices and other sources.

Philips Research global head Betsabeh Madani Hermann said: “This collaboration between Philips and Mass General Brigham represents a significant step forward in the integration of advanced data analytics into clinical practice.

“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.”

Mass General Brigham is contributing the expertise of its digital teams, clinical sub-specialists, biomedical engineering team and its internal AI business unit, Mass General Brigham AI, to the partnership.

Together with Philips' teams in research and business, these will work to provide data insights, improve data integration and foster the development of new algorithms to enhance patient care.

Massachusetts General Hospital Biomedical Engineering medical director Dr Tom McCoy said: “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.

“By mobilising 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.”