Royal Philips, a global leader in health technology, highlighted how open, interoperable, AI-enabled platforms can help health systems connect continuous patient monitoring with diagnostic insights – bringing the patient story together across time and across specialities. By connecting clinical signals with diagnostic information, Philips enables care teams to move from fragmented data to a more continuous, actionable understanding of the patient.

Health systems are under unprecedented pressure, with rapidly growing data volumes stretching clinical capacity and contributing to care delays. Delays are often compounded by fragmented data across monitoring systems, imaging platforms, and clinical applications. Philips’ Future Health Index 2025 found that 77 per cent of healthcare professionals have lost clinical time due to issues with incomplete or inaccessible patient data. As providers look for ways to expand capacity without adding burden, AI is increasingly being adopted to help automate routine tasks and surface relevant insights sooner. Yet scaling AI requires trusted, interoperable, longitudinal data that can be contextualised in clinical workflows.

Philips’ platforms are designed to connect data, devices, and teams across care settings and diagnostic domains. By linking medical devices, patient monitoring systems, imaging platforms, and health information systems – including EMR and third-party technologies – Philips enables health systems to create a unified data foundation that supports continuous visibility and longitudinal insight across the enterprise. At HIMSS26, Philips is showcasing two core capabilities that help make this connected care intelligence possible: enterprise patient monitoring that enables longitudinal care intelligence, and Integrated Diagnostics that brings imaging and diagnostic data together across the enterprise.

“Care is longitudinal – it doesn’t begin or end at the hospital door,” said Julia Strandberg, Chief Business Leader Connected Care at Royal Philips. “When data is connected across environments, clinicians can see a more continuous patient trajectory rather than disconnected snapshots. That broader context helps reduce noise, improve situational awareness, and allow care teams to focus their time on what matters most: earlier intervention and better patient outcomes.”