At last week’s HIMSS Global Conference & Exhibition in Las Vegas, Philips highlighted how open, interoperable, AI-enabled platforms can help health systems connect continuous patient monitoring with diagnostic insights.

This can bring the patient story together across time and across specialties. By connecting clinical signals with diagnostic information, the Dutch firm is helping care teams move from fragmented data to a more continuous, actionable understanding of the patient.

Health systems are under 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 found that 77% 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 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 helps health systems create a unified data foundation that supports continuous visibility and longitudinal insight across the enterprise.

At HIMSS, Philips showed two core capabilities that help make this connected care intelligence possible: 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 from Philips. “When data are 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 connect 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 (www.usa.philips.com/healthcare/cloud-solutions) integrated diagnostics portfolio provides a suite of cloud-based options designed to connect data, integrate workflows and embed AI across the diagnostic enterprise.

“Integrated diagnostics aren’t about adding another tool, they’re about connecting the diagnostic enterprise, so clinicians aren’t forced to assemble the story themselves,” said Shez Partovi, chief innovation officer at Philips (www.philips.com). “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.”