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

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...