By streaming data from medical devices and other sources, Philips and Mass General Brigham aim to create a scalable, unified, near real-time data and insights ecosystem.
Royal Philips, a health technology provider, and Mass General Brigham announced a new collaboration to develop and deploy advanced data infrastructure and artificial intelligence (AI) designed to integrate and process live healthcare data from a range of sources to improve patient care.
Today, healthcare providers often rely on disparate data sources, including static electronic medical record (EMR) data, clinical notes, and isolated device alarms. By streaming data from medical devices and other sources, Philips and Mass General Brigham aim to create a scalable, unified, near real-time data and insights ecosystem. Powered by Philips software platforms, the collaboration aims to enable clinicians to capture, analyze, and react to data as it is available, potentially improving the effectiveness and efficiency 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,” says Tom McCoy, MD, medical director of biomedical engineering at Massachusetts General Hospital, in a release. “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.”
Integrating Active Data and AI
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, to create a comprehensive and actionable data environment. Philips Capsule Medical Device Information Platform brings 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.
“This collaboration between Philips and Mass General Brigham represents a significant step forward in the integration of advanced data analytics into clinical practice,” says Betsabeh Madani Hermann, global head of research at Philips, in a release. “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.”
Summary:
Philips and Mass General Brigham have announced a collaboration to develop and deploy AI-powered live insights by integrating real-time patient data from medical devices, electronic medical records (EMRs), and other clinical sources. The initiative aims to create a unified data ecosystem that enables clinicians to capture, analyze, and act on live medical data, improving patient monitoring, safety, and operational efficiency. Philips’ software platforms will be used to unify device data, facilitate retrospective analysis, and generate smart alerts to support timely clinical decisions. An initial research program will focus on continuous heart monitoring, aiming to improve early detection of cardiac events.
Key Takeaways:
- AI-Powered Live Insights for Patient Monitoring – Philips and Mass General Brigham are developing a real-time data integration system to enhance clinical decision-making and patient safety.
- Smart Alerts and Predictive Analytics – The collaboration will use AI-driven algorithms to detect patient patterns, generate smart alerts, and improve early intervention for critical health issues.
- Initial Focus on Cardiac Monitoring – A research program will analyze real-time heart monitoring data to advance early detection of cardiac events and other health concerns.
Photo caption: Physician caring for patient
Photo credit: Philips
