Philips connects patient monitoring and diagnostics to advance platform-based care intelligence at HIMSS26

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% of healthcare professionals have lost clinical time due to issues with incomplete or inaccessible patient data [1]. 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 contextualized in clinical workflows.

“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.”

Across the acute and post-acute continuum, clinicians need continuous visibility that travels with the patient. Philips is advancing longitudinal care intelligence by connecting enterprise monitoring with interoperable clinical data – so physiologic signals remain visible as patients move across care settings, including in high-acuity environments, during transitions of care, and after discharge.

By integrating medical devices and health information systems, including EMRs and a broad ecosystem of third-party devices, Philips helps create a connected data thread with central monitoring and surveillance workflows that support clinical decision-making across encounters and over time. This longitudinal foundation can help reduce workflow friction for care teams. Connected monitoring can also support strategies to relieve pressure on high-acuity environments by supporting safe, early discharge with oversight beyond the hospital walls.

A complete patient story also depends on diagnostics. Yet in many hospitals, diagnostic imaging data live in disconnected systems across radiology, cardiology, pathology, and other specialties. Clinicians often navigate multiple viewers, logins, and workflows to access the information needed to make decisions.

Integrated Diagnostics connects diagnostic systems, workflows, and AI applications so clinicians can access a more unified view of patient imaging and diagnostic data when decisions cannot wait. Philips’ HealthSuite Integrated Diagnostics portfolio provides a comprehensive suite of cloud-based solutions designed to connect data, integrate workflows, and embed AI across the diagnostic enterprise.

“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, time to diagnosis can drop, and intelligence can be embedded into everyday workflows in a way that truly scales.”

Philips’ platform approach is built with cybersecurity, privacy, and responsible AI practices at its core. Trust is foundational to enabling data liquidity across the enterprise, supporting longitudinal context, and scaling AI in ways that strengthen clinical decision-making while minimizing unnecessary complexity.