Philips Empowers Medical Image Access for over 5,000 Clinicians in the Region of Southern Denmark

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced the completion of a regional informatics project that consolidates radiology and nuclear medicine imaging data. The Region of Southern Denmark now has a single system for storing, retrieving, and viewing clinical images across all the locations and specialties in its extensive healthcare system.

The Region of Southern Denmark health service encompasses four hospital groups with a total of 12 hospitals that serve a population of over 1.2 million people living on both on the mainland and the region's many islands. The unified imaging ecosystem will serve all of the region's approximately 300 radiologists and nuclear medicine specialists, performing 1.5 million exams yearly. The related images are now accessible to the over 5,000 clinicians in the region.

"Easy access to medical patient data across complex healthcare systems fosters clinical collaboration and is essential to advance precision diagnosis," said Calum Cunningham, General Manager of Enterprise Diagnostic Informatics at Philips. "We were able to implement our Enterprise Imaging solution in record time, helping the Region of Southern Denmark to move to the next step of digital maturity, improve collaboration, and ultimately enhance patient care."

"An important requirement was solid integration with the national image registry in Region Sjælland," said Jørgen Balle Kristensen, Senior IT Project Manager for the Region of Southern Denmark. "The Philips Vendor-Neutral Archive has an open, standards-based design that's compatible with images in virtually any clinical format, from any source, so it's a perfect fit for our integration needs."

The region decided to partner with Philips to advance its digital transformation towards precision diagnosis. The adoption of Philips Enterprise Imaging solutions has started with implementing the Philips Vendor-Neutral Archive (VNA) and Philips Universal Viewer as part of its strategy to replace the existing systems. These modules provide a single source of archiving and distribution of imaging information that enables viewing of clinical images virtually, anytime anywhere by authorized users via a web browser or mobile device.

Philips Enterprise Imaging solutions combine scalable, modular architecture that integrates with existing systems to deliver data and tools across and beyond the enterprise - from radiology data reporting to enterprise-wide ingestion, distribution and archiving, to full patient and clinical data management. It consolidates multiple specialty workstations into a single, multifunctional workspace that allows radiologists to enhance reporting quality. For more information, visit https://www.philips.com/collaboration.

About Royal Philips

Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people's health and well-being, 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 2019 sales of EUR 19.5 billion and employs approximately 81,000 employees with sales and services in more than 100 countries.

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...