Health informatics

Health knows no bounds
Technology that adapts.
People who benefit.

Health knows no bounds Technology that adapts.
People who benefit.

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Addressing the top challenges in health informatics and IT

Homerr Pien podcast
Podcast: Play in a new window | Download MP3 | View transcript
The potential of AI to improve healthcare delivery is limitless with a wide range of applications and potential in the radiology department, from improved diagnosis, enhanced workflows which will, inevitably, lead to a change in the radiologist’s role. Join host Dennis de Costa as he discusses the future of AI in healthcare with Homer Pien, Chief Technology Officer for Imaging at Philips.

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A comprehensive portfolio of health informatics solutions

Operational solutions

Connecting data across your enterprise to improve workflows and enable more efficient care delivery.
Clinical solutions

Insights to enable improved clinical decision-making and patient care inside and outside the hospital.
Cloud and infrastructure solutions

Enabling system interoperability across your enterprise while keeping your data secure.

Adaptive intelligence:
A meaningful application of artificial intelligence

We’re combining the potential of artificial intelligence (AI) with a deep understanding of the clinical, operational and personal context in which it is used to improve people’s lives.

Clinical informatics and decision support

Illumeo uses data aggregation and analysis from multiple data sources to augment the clinical experience of radiology. Built-in intelligence understands the anatomical context and automatically suggests the right tool sets. 







Diagnostic imaging

Philips HeartModelA.I. uses anatomical intelligence, which looks at a patient’s ultrasound data and applies adaptive system intelligence using 3D anatomical models to create easier and more reproducible results. PerformanceBridge Practice has an interactive dashboard that uses proactive data analytics to improve imaging department performance.

Digital pathology and genomics

Discover which patients respond best to certain treatments to enable more personalized care. Deep learning applications in digital pathology analyze massive data sets aimed at supporting the detection of specific cancer types and guide treatment decisions. Integrating multi-source diagnostic data with full patient context, IntelliSpace Genomics to empower clinicians with precision diagnostics and treatment.

Point of care


Detect patient deterioration earlier for timely interventions in acute patient care. Predictive analytics in IntelliVue Guardian Solution with Early Warning Scoring can alert care providers to subtle signs of patient deterioration. IntelliSpace Console aggregates and analyzes data from multiple sources to give a dynamic display of a patient condition throughout the intensive care unit.

Population health management


Uncover correlations and patterns in health information to provide predictive care for entire populations. Data aggregation and analysis from the Philips Wellcentive platform identifies and stratifies at-risk patient segments, and allows care managers to take action. To help reduce readmissions, CareSage uses predictive analytics to identify when a patient might be at risk for emergency transport in the next 30 days.

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