Philips at HIMSS 2023

April 17-21
Booth 901| McCormick Place Convention Center, Chicago, IL

Join us at HIMSS and find out how we can help you improve your clinical workflows to ensure operational efficiency.

Innovate and reimagine care to see beyond

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Attend our HIMSS speaking sessions

Industry Solution Session: How can automation and predictive insights help improve patient care at lower cost?

Speakers: Gretchen Brown, MSN, RN, Chief Nursing Informatics Officer, Stanford Health Care,
Adam Alkhato, Administrative Director of Biomedical Engineering and Technology, Stanford Health Care,
Mike Seagraves, PhD, Digital Transformation Partner, Philips

Wednesday April 19, 2023 | 2:30-3:30 PM CST | South Building S402 –Room 2

Cybersecurity Presentation: Get secure, stay secure

Speaker: Dirk de Wit

Tuesday, April 18, 2023 | 12:15 -12:35 PM CST| South hall Theatre A

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Virtual space for a rewarding immersive experience

Navigate through our new virtual Informatics experience to find out more about our new and enhanced informatic workflow solutions.

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Explore our healthcare informatics solutions

Explore our portfolio of healthcare informatics solutions that aim to transform large amounts of clinical data into integrated information that can help guide patient care throughout your enterprise.

Diagnostic Informatics

Discover our user-friendly, clinically proven portfolio of integrated diagnostic informatics solutions that can enable simple and secure data integration among specialties – like radiology, pathology, cardiology, and oncology – and between institutions.

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Virtual Care - eCareManager

eCareManager enables effective patient population management, provides actionable insights for increased clinical decision support and fosters care coordination with confidence.

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Clinical Surveillance - MDIP

Medical device integration and surveillance: liberate your device data and deliver insights to caregivers anytime, anywhere.

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Alarm management

Philips Alarm Advisor helps enable clinicians to cut through the ding of non-actionable alarms and alerts them when set thresholds may be too sensitive.

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Early Warning Score

An automated early warning scoring (EWS or MEWS) solution can help you identify the subtle signs of deterioration that can indicate a potential serious adverse event (SAE).

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MCOT - Mobile Cardiac Outpatient Telemetry

MCOT, powered by its unique SmartDetectAI algorithm, accelerates delivery of clinically smart cardiac care with high-quality actionable reports that enable you to diagnose and treat arrhythmias quickly and confidently.

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Imaging Orchestrator - ROCC

Learn more about our multi-vendor, multi-modality, multi-site virtualized imaging operations that enable real-time collaboration and support and help maximize the value of top imaging staff.

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Enterprise Monitoring as a Service

EMaaS is a shared-risk model that enables hospitals to access up-to-date monitoring capabilities. The model includes hardware and software upgrades that allow the hospital to keep up with rapidly changing technology without the risk of obsolescence.

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Virtual Care Management

Philips provides a comprehensive portfolio of flexible virtual care management solutions to motivate and connect with patients and members virtually anywhere. Our clinical protocols combined with smart devices, highly personalized engagement tools, plus our optional professional monitoring and personalized health coaching foster strong engagement and empower healthier behaviors. With Philips, you can unlock the power of human-centered care, improving patient and member health, virtually, every step of the way.

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Clinical Surveillance Maturity Model

Interested to learn about a model that focuses on the evolution of clinical surveillance from a current state of status quo medical device alarms to a more advanced form of clinical notification, or smart alert, that is the heart of clinical surveillance? The Clinical Surveillance Maturity Model (CSMM) was developed to relate stages of operational clinical surveillance maturity conceived as a methodology to reduce nuisance and non-clinically actionable medical device alarms and to speed the earlier identification of emergent, clinically-actionable patient conditions and events.

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