Dutch healthcare technology firm Royal Philips has partnered with Mass General Brigham (MGB) to enhance clinical decision-making by integrating artificial intelligence (AI) into healthcare data management.
The collaboration will focus on building a real-time data infrastructure that streams and analyses patient information from multiple sources.
The initiative addresses challenges in healthcare data fragmentation. Current systems rely on disparate sources, including Electronic Medical Records (EMRs), clinical notes, and standalone device alerts, said the Dutch company.
Philips and MGB aim to develop a unified platform that consolidates and processes this information in near real-time, supporting more responsive 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.”
By combining Philips’ software platforms with MGB’s clinical and AI expertise, the partnership seeks to optimise data integration and analysis. Philips’ Capsule Medical Device Information Platform will aggregate data from bedside medical devices, such as ventilators and monitors.
This data will be analysed alongside long-term clinical records, including lab results and EMRs. Philips Clinical Insights Manager will enable retrospective analysis and testing, while Philips Capsule Surveillance will use continuous algorithmic processing to generate alerts for clinical teams.
MGB’s biomedical engineering and digital teams, along with its AI business unit, Mass General Brigham AI, will contribute to developing algorithms that identify patient-cohort patterns and generate smart alerts. These alerts will provide clinicians with real-time insights, facilitating timely interventions and treatment adjustments.
The first phase of the collaboration focuses on patients undergoing continuous heart monitoring. By analysing real-time cardiac data, the research aims to enhance early detection of heart-related complications, improving response times and treatment outcomes.
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.”
