Radboud University Medical Center and Philips Sign 10-Year Patient Monitoring Partnership and Agreement to Keep Software State-of-the-Art

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Radboud University Medical Center have signed a hospital-wide, long-term strategic partnership that delivers the latest patient monitoring applications. All Radboudumc departments will have access to Philips' patient monitoring portfolio. In addition, the two parties have signed a service agreement, to continuously deliver clinical and technical services to maintain the monitors and underlying IT platform. New software developments for bedside or central station monitors are frequent, as are necessary clinical software and security updates. With this agreement, Radboudumc will always have access to the latest updates, software, and security for their patient monitoring systems.

The goal of Radboudumc is to create a reliable and scalable patient monitoring ecosystem that offers flexibility in the future. This collaboration could help us to reduce alarms and allow data to be accessed and clinical decisions to be made from anywhere, helping to optimize patient monitoring and clinical outcomes. The ecosystem and platform that Philips offers create new possibilities and opportunities.

While patients are continuously monitored in operating rooms, Intensive Care Units and other departments with bedside patient monitors, monitoring also can happen during patient transit. Some interchangeable monitors can be used during patient transport to ensure no patient data is lost. The data is stored in the software and IT systems behind the monitors, which support caregivers in the interpretation of all this data, using algorithms, for example, to provide the best possible insight into the patient's health status and signal a deterioration in the patient.

"Patient monitoring is an innovation focus of Philips, and we use our technology to support healthcare providers to better care for their patients. The hardware, the monitors, and sensors are the visible parts of the monitoring system, but the invisible part - the software - is where we can make a big difference for healthcare providers. By bringing together patient data and distilling information from it, these systems and software can support caregivers in taking better care of patients and intervening more quickly when needed. In the future, we will see many developments in this area including the introduction of artificial intelligence," said Léon Kempeneers, Managing Director of Philips Benelux.

Philips is also focusing on innovations to enhance the usability of monitors. A few recent examples are the developments of alarm sounds to reduce alarm fatigue and create environments that promote patient recovery. In addition, Philips recently introduced the Visual Patient Avatar that aggregates patient data from the monitor, during surgery, into a "virtual patient" on the monitor screen to help caregivers interpret data more easily.

About Royal Philips

Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people's health and well-being through meaningful innovation. Philips' patient- and people-centric innovation leverages advanced technology and deep clinical and consumer insights to deliver personal health solutions for consumers and professional health solutions for healthcare providers and their patients in the hospital and the home.

Headquartered in the Netherlands, the company is a leader in diagnostic imaging, ultrasound, image-guided therapy, monitoring and enterprise informatics, as well as in personal health. Philips generated 2023 sales of EUR 18.2 billion and employs approximately 69,100 employees with sales and services in more than 100 countries.

Most Popular Now

AI System Helps Doctors Identify Patient…

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts...

Smartphone App can Help Reduce Opioid Us…

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a...

AI's New Move: Transforming Skin Ca…

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification...

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...

AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is...

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...