Hoag Hospital Irvine in California, US, has entered a ten-year strategic collaboration to modernise and standardise patient monitoring across its two acute care facilities by adopting Philips’ Enterprise Monitoring as a Service (EMaaS) model.
The initiative will include the expanded Sun Family Campus in Irvine, scheduled to add 155 inpatient beds by mid-2026.
This collaboration aims to support informed clinical decision-making, early intervention, continuous monitoring, and patient-centred care.
Hoag will also implement Philips' IntelliVue MX750 bedside and X3 transport patient monitors throughout its network. This creates a unified monitoring system aimed at enhancing patient safety, clinical efficiency and data continuity.
Central to this system is the Philips Patient Information Center (PIC iX), which integrates advanced analytics, early warning scores, clinical decision support tools, and patient monitoring data.
The use of Philips’ EMaaS model provides Hoag with ongoing access to innovations while maintaining financial predictability.
The MX750 and X3 combination provides a software-driven solution that enables clinicians to adjust monitoring levels instantly, offering flexible transformation of any bed to meet changing acuity requirements.
Philips’ systems are designed to be interoperable, scalable and secure and integrate with Hoag’s electronic health record (EHR) platform to promote coordinated care.
Philips Connected Care chief business leader Julia Strandberg said: “This collaboration is a transformative milestone in our journey to designing care that truly revolves around the needs of both patients and clinicians.
“By deploying integrated monitoring solutions across Hoag’s network that flex to patient acuity and care setting, we’re enabling a smarter, more responsive care environment – one that supports clinical excellence, reduces complexity and delivers insights where and when they matter most.”
In February 2025, Philips and Massachusetts General Brigham partnered to develop and deploy AI and advanced data infrastructure to enhance patient care by integrating and processing live healthcare data.
