Philips Links Patient Monitoring and Diagnostics at HIMSS26

Royal Philips (NYSE: PHG, AEX: PHIA), a worldwide chief in well being know-how, at the moment highlighted how open, interoperable, AI-enabled platforms will help well being techniques join steady affected person monitoring with diagnostic insights – bringing the affected person story collectively throughout time and throughout specialties. By connecting medical alerts with diagnostic data, Philips permits care groups to maneuver from fragmented information to a extra steady, actionable understanding of the affected person.

Health techniques are underneath unprecedented stress, with quickly rising information volumes stretching medical capability and contributing to care delays. Delays are sometimes compounded by fragmented information throughout monitoring techniques, imaging platforms, and medical purposes. Philips’ Future Health Index 2025 discovered that 77% of healthcare professionals have misplaced medical time on account of points with incomplete or inaccessible affected person information [1]. As suppliers search for methods to develop capability with out including burden, AI is more and more being adopted to assist automate routine duties and floor related insights sooner. Yet scaling AI requires trusted, interoperable, longitudinal information that may be contextualized in medical workflows.

Philips’ platforms are designed to attach information, gadgets, and groups throughout care settings and diagnostic domains. By linking medical gadgets, affected person monitoring techniques, imaging platforms, and well being data techniques – together with EMR and third-party applied sciences – Philips permits well being techniques to create a unified information basis that helps steady visibility and longitudinal perception throughout the enterprise. At HIMSS26, Philips is showcasing two core capabilities that assist make this linked care intelligence attainable: enterprise affected person monitoring that permits longitudinal care intelligence, and Integrated Diagnostics that brings imaging and diagnostic information collectively throughout the enterprise.

“Care is longitudinal – it doesn’t start or finish at the hospital door,” mentioned Julia Strandberg, Chief Business Leader Connected Care at Royal Philips. “When information is linked throughout environments, clinicians can see a extra steady affected person trajectory reasonably than disconnected snapshots. That broader context helps scale back noise, enhance situational consciousness, and permit care groups to focus their time on what issues most: earlier intervention and higher affected person outcomes.”

Enterprise affected person monitoring – enabling longitudinal care intelligence
Across the acute and post-acute continuum, clinicians want steady visibility that travels with the affected person. Philips is advancing longitudinal care intelligence by connecting enterprise monitoring with interoperable medical information – so physiologic alerts stay seen as sufferers transfer throughout care settings, together with in high-acuity environments, throughout transitions of care, and after discharge.

By integrating medical gadgets and well being data techniques, together with EMRs and a broad ecosystem of third-party gadgets, Philips helps create a linked information thread with central monitoring and surveillance workflows that assist medical decision-making throughout encounters and over time. This longitudinal basis will help scale back workflow friction for care groups. Connected monitoring can even assist methods to alleviate stress on high-acuity environments by supporting protected, early discharge with oversight past the hospital partitions.

Integrated Diagnostics – enterprise imaging integration to assist scale back workload
An entire affected person story additionally relies on diagnostics. Yet in lots of hospitals, diagnostic imaging information stay in disconnected techniques throughout radiology, cardiology, pathology, and different specialties. Clinicians typically navigate a number of viewers, logins, and workflows to entry the data wanted to make selections.

Integrated Diagnostics connects diagnostic techniques, workflows, and AI purposes so clinicians can entry a extra unified view of affected person imaging and diagnostic information when selections can not wait. Philips’ HealthSuite Integrated Diagnostics portfolio supplies a complete suite of cloud-based options designed to attach information, combine workflows, and embed AI throughout the diagnostic enterprise.

“Integrated Diagnostics isn’t about including one other instrument – it’s about connecting the diagnostic enterprise, so clinicians aren’t compelled to assemble the story themselves,” mentioned Shez Partovi, Chief Innovation Officer and Chief Business Leader of Enterprise Informatics at Royal Philips. “When cardiology, radiology, pathology and different diagnostic domains come collectively on a linked basis, groups achieve a extra unified view of the affected person, time to prognosis can drop, and intelligence may be embedded into on a regular basis workflows in a method that really scales.”

Philips’ platform strategy is constructed with cybersecurity, privateness, and accountable AI practices at its core. Trust is foundational to enabling information liquidity throughout the enterprise, supporting longitudinal context, and scaling AI in ways in which strengthen medical decision-making whereas minimizing pointless complexity.

Experience Philips at HIMSS26
At HIMSS26, Philips is demonstrating how enterprise affected person monitoring and Integrated Diagnostics can scale back fragmentation, speed up perception, and assist assured motion throughout care environments and diagnostic workflows – whereas giving clinicians time again to ship higher care.

[1] Philips Future Health Index 2025. Available at: philips-future-health-index-2025-report-building-trust-in-healthcare-ai-global.pdf

For additional data, please contact:

Anna Hogrebe
Philips Global External Relations
Tel.: +1 416 270 6757
E-mail: [email protected]

The put up Philips Links Patient Monitoring and Diagnostics at HIMSS26 first appeared on AI-Tech Park.