Philips Announces Commercial Availability of its Interoperable and Scalable IntelliSpace Universal Data Manager for Healthcare Enterprises

PhilipsRoyal Philips (NYSE: PHG; AEX: PHIA) today announced the commercial availability of its high-performance IntelliSpace Universal Data Manager, a scalable, secure, interoperable data management solution that supports healthcare enterprises in organizing large data sets, including millions of images and other data from multiple sources, and quickly delivering them to virtually any clinician throughout their health network. The IntelliSpace Universal Data Manager complements the Philips IntelliSpace healthcare informatics portfolio, including the IntelliSpace PACS radiology workflow management applications and IntelliSpace Portal advanced visualization and quantification platform.

Today's conventional medical image archive solutions focus on multi-vendor compatibility but they often times compromise on performance and scalability. Philips' new interoperable IntelliSpace Universal Data Manager is different and allows for integration and universal management and scalability to meet healthcare providers current and future needs, helping them to deliver better, more holistic patient care without compromising on system performance.

The IntelliSpace Universal Data Manager delivers enhanced image lifecycle support, configurable storage options and full scalability, while also meeting the performance demands of larger radiology departments. Many healthcare organizations have challenges managing the millions of images and other data that are often stored in decentralized systems and infrastructures from multiple vendors across many clinical departments and locations. These images range from X-ray, CT and MR-scans made by their radiology, cardiology and oncology departments to the digital photos taken by dermatology and plastic surgery as part of a consultation. With the IntelliSpace Universal Data Manager, radiologists and clinicians can access relevant multi-discipline medical images for a more complete and integrated view of their patients' medical conditions over time. The data management solution works with multi-vendor imaging modalities and storage systems and supports medical imaging standards to leverage existing investments.

"Chief Information Officers at healthcare enterprises face complex IT landscapes and are seeking more effective data management strategies," said Yair Briman, Senior Vice President and General Manager of Healthcare IT for Philips. "Philips is committed to offering sophisticated solutions that are universal, interoperable, and help organizations with the challenge of integrating the proliferation of ordered and non-ordered images, reigning in spiraling operational costs and providing easy access to patient records."

The Universal Data Manager will leverage the capabilities of Philips HealthSuite with the aim to further expand its features and possibilities for enterprise-wide, and between hospital enterprises, medical image accessibility.

Philips IntelliSpace is an integrated portfolio of professional healthcare informatics solutions providing clinical workflow, decision support and patient management capabilities. The IntelliSpace Universal Data Manager works seamlessly with IntelliSpace PACS and IntelliSpace Portal to help deliver diagnostic and treatment confidence in radiology, cardiology, oncology, neurology and other clinical domains.

Related news articles:

About Royal Philips
Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people’s health and enabling better outcomes across the health continuum from healthy living and prevention, to diagnosis, treatment and home care. Philips leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, image-guided therapy, patient monitoring and health informatics, as well as in consumer health and home care. Philips' health technology portfolio generated 2015 sales of EUR 16.8 billion and employs approximately 70,000 employees with sales and services in more than 100 countries.

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...