Philips and Centre Hospitalier Régional Universitaire de Nancy Announce 10-Year Enterprise Informatics Agreement to Increase Efficiency and Improve Patient Care

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Centre Hospitalier Régional Universitaire (CHRU) de Nancy, a leading academic hospital in the Grand Est region of France, announced a 10-year agreement to implement Philips' IntelliSpace Enterprise Imaging Solution, including Illumeo with adaptive intelligence. CHRU de Nancy is a public health institution that provides 1.2 million consultation visits and inpatient stays each year. The agreement will enable the hospital to streamline complex medical image data management across its departments in order to enhance the delivery of care with better health outcomes and improved experiences for its patients and staff.

"As we transform to focus on delivering value in healthcare, this new enterprise informatics agreement with Philips will enable us to improve productivity, enhance collaboration between clinicians, and ultimately improve health outcomes for our patients," said Jean-Christophe Calvo, Chief Information Officer and Head of the Biomedical Department, CHRU de Nancy. "The combination of our scale and expertise in research, and their comprehensive informatics solution, will enable us to better connect people and data, as well as providing a foundation for us to leverage artificial intelligence in healthcare."

"The diagnostic value of medical imaging for the assessment of the anatomy and function of disease continues to increase, as the field evolves and new techniques emerge," said Prof. Daniel Mandry, Head of the Imaging Department for Women and Children, CHRU de Nancy. "High quality medical imaging data management is key to providing a precise diagnosis. As the amount of data we capture for each patient dramatically increases, we expect Philips Illumeo to help us improve our workflows and enhance the user experience by adapting to the clinical and user context. This will free up time for our radiologists to focus on diagnosis."

Philips IntelliSpace Enterprise Imaging Solution is a comprehensive offering designed to meet the evolving needs of healthcare providers. It includes: IntelliSpace Universal Data Manager, which enables true Enterprise Imaging by combining efficient care with comprehensive clinical data management; IntelliSpace Radiology, a clinical user interface designed to optimize the impact radiologists have on patient care; IntelliSpace Radiology Workspace, which offers intelligent workflow and collaboration tools to enhance radiologist efficiency; and Illumeo with adaptive intelligence.

"In today's rapidly changing healthcare environment, managing image data is increasingly challenging, with greater clinical demands and image data management complexity," said Calum Cunningham, Business Leader for Enterprise Diagnostic Informatics at Philips. "Our partnership with CHRU de Nancy will support the hospital’s shift towards the delivery of value based care, securely connecting patients, the care team and data across the entire health system. Today's announcement, alongside our recently-announced partnership with Lille University Hospital, demonstrates the pioneering role that health institutions in France are playing in the application of artificial intelligence in healthcare in Europe."

Philips Illumeo with adaptive intelligence expands presence into Europe

CHRU de Nancy is the first healthcare organization in Europe to deploy Philips Illumeo in routine primary diagnostic use. Separately, Philips also recently agreed a two-year research partnership with Lille University Hospital, during which time the hospital will provide insights into the ongoing benefits hospitals can experience with Illumeo, as well as investigating new enhancements for the platform.

With its portfolio of imaging systems, software and associated services, Philips is enabling the increasingly precise diagnosis and treatment of disease. By combining data from a wide range of sources and applying intelligence to that data, Philips enables providers to deliver personalized healthcare that's based on a deep understanding of the individual patient.

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 generated 2018 sales of EUR 18.1 billion and employs approximately 77,000 employees with sales and services in more than 100 countries.

About CHRU de Nancy

CHRU de Nancy (Centre Hospitalier Régional Universitaire de Nancy) is a leading hospital in the Grand Est region of France. With more than 9,000 employees, the hospital provides acute care and support to healthcare organizations across the region. It leverages its multidisciplinary, high-quality medical expertise to treat 160,000 patients each year across all stages of life, hosting 1.2 million consultation visits and inpatient stays. With its high-performance medical and surgical departments, CHRU de Nancy is a major player in biomedical research and contributes to the training of health professionals. To support its efforts to optimize patient care, the hospital is stepping up its ambulatory capabilities and playing a leading role in the development of telemedicine.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...