Philips Showcases AI-Enabled Patient Monitoring and Diagnostics Integration at HIMSS26
The company's connected platform aims to link physiologic monitoring data with diagnostic imaging across radiology, cardiology, and pathology.
The company's connected platform aims to link physiologic monitoring data with diagnostic imaging across radiology, cardiology, and pathology.
New capabilities integrate automated parts ordering, purchase order automation, and predictive failure forecasting.
RTLS is no longer just about finding equipment. Better accuracy and maturing integrations are pushing location data into maintenance, capital planning, patient flow, and more.
The company's connected platform aims to link physiologic monitoring data with diagnostic imaging across radiology, cardiology, and pathology.
Direct integration with the operating system is designed to give health systems a single environment for managing regulatory-cleared AI tools within existing imaging workflows.
Read MoreThe new platform includes ChatGPT for Healthcare and expanded API tools designed for use across clinical, administrative, and research workflows.
Read MoreNew agentic functionality is designed to support capital planning decisions and inventory management for health systems.
Read MoreThe platform uses a closed helium circuit and AI-based workflows to reduce helium use, energy consumption, and exam time.
Read MoreThe cybersecurity veteran joins 24×7’s advisory board as cyber resilience becomes a growing focus for the HTM field.
Read MoreA randomized clinical trial evaluated ambient documentation tools already deployed across thousands of healthcare facilities nationwide.
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ECRI leaders discussed how technologies such as AI-based monitoring and safety systems can affect falls prevention and why system-level evaluation is critical to avoid unintended risk.