Philips unveils AI-driven interoperable care platforms at HIMSS26

THE NETHERLANDS/USA—Royal Philips, a global leader in health technology, has demonstrated how open, interoperable, AI-enabled platforms can help health systems connect continuous patient monitoring with diagnostic insights.

This approach brings the patient story together across time and specialties, enabling care teams to move from fragmented data to actionable understanding.

Health systems face unprecedented pressure as rapidly growing data volumes stretch clinical capacity and contribute to care delays.

Philips’ Future Health Index 2025 reveals that 77% of healthcare professionals have lost clinical time due to incomplete or inaccessible patient data.

Fragmentation across monitoring systems, imaging platforms, and clinical applications compounds these delays, leaving providers searching for ways to expand capacity without increasing burden.

Enterprise monitoring enables continuous care

Philips’ platforms connect data, devices, and teams across care settings and diagnostic domains.

The company links medical devices, patient monitoring systems, imaging platforms, and health information systems—including EMR and third-party technologies—to create a unified data foundation.

At HIMSS26, Philips showcased two core capabilities: enterprise patient monitoring that enables longitudinal care intelligence and integrated diagnostics that bring 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.”

She explained that broader context helps reduce noise, improve situational awareness, and allow care teams to focus on earlier intervention and better patient outcomes.

Philips advances longitudinal care intelligence by connecting enterprise monitoring with interoperable clinical data, ensuring physiologic signals remain visible as patients move across care settings.

The platform integrates medical devices and health information systems, creating a connected data thread with central monitoring and surveillance workflows that support clinical decision-making across encounters and over time.

Unifying diagnostic systems across specialties

In many hospitals, diagnostic imaging data live in disconnected systems across radiology, cardiology, pathology, and other specialties.

Clinicians navigate multiple viewers, logins, and workflows to access information needed for decision-making.

Integrated Diagnostics addresses this challenge by connecting diagnostic systems, workflows, and AI applications, providing clinicians with a unified view of patient imaging and diagnostic data.

“Integrated Diagnostics isn’t about adding another tool—it’s about connecting the diagnostic enterprise so clinicians aren’t forced to assemble the story themselves,” said Shez Partovi, Chief Innovation Officer and Chief Business Leader of Enterprise Informatics at Royal Philips.

“When cardiology, radiology, pathology and other diagnostic domains come together on a connected foundation, teams gain a more unified view of the patient.”

Philips builds its platform approach with cybersecurity, privacy, and responsible AI practices at its core, enabling data liquidity across the enterprise while supporting longitudinal context and scaling AI to strengthen clinical decision-making.