Health informatics

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

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

Health professionals:

talk to us about how we can help

Addressing the top challenges in health informatics and IT

Homerr Pien podcast
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Achieving enterprise-wide interoperability

 

Integrate clinical data across modalities with your EHR and

beyond

Enhancing cybersecurity to prevent attacks

 

Go beyond compliance to proactively protect data from cyber attacks

Controlling costs while enhancing performance

 

How to choose the technologies and systems that meet both budget and care quality goals

Helping meet your organization’s strategic goals

 

How IT can help deliver operational change as a strategic partner

Aggregating data from disparate sources

 

Free data from silos and move it seamlessly across platforms, people and locations

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.

A comprehensive portfolio of health informatics solutions

Operational
Operational
 
Cloud and infrastructure
Cloud and infrastructure
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. IntelliSpace Portal offers an advanced visual analysis and quantification platform that uses machine learning to learn about the clinician’s workflow.

 

 

 

 





 

 

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 a customizable dashboard that helps to unify deep levels of data and enhance operational and clinical decision making that can 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.

Let's talk

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What are your biggest challenges in informatics? Whether its interoperability across your enterprise or achieving greater standardization of care, we partner with you to deeply understand your infrastructure and operations, and deliver solutions that help your transform your health system.

 

Reach out using the form below to get started.

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