SimonMed Imaging Partners with Philips to Deploy New Diagnostic Imaging Technology to Advance Radiology Workflow Performance

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced that SimonMed Imaging, one of the largest outpatient imaging providers in the U.S., will bring the most advanced 3T MRI Philips technology to its centers of excellence across the U.S. The first MR systems, placed in California, Arizona, Illinois and Colorado, will feature software and services to enhance diagnoses ranging from brain injuries, liver and cardiac disease, to orthopedic injuries. Philips and SimonMed are also collaborating to further enhance the patient experience and speed in diagnostic imaging.

Advanced MR technology enhances patient experience and workflow efficiency

Faced with increased financial pressures and demands due in large part to COVID-19, imaging providers are dealing with a growing and aging co-morbid patient population who need and deserve the most advanced care. Driving day-to-day operations, while planning for long-term strategies, are necessary to continue to deliver consistent, high-quality care. Together with their customers, Philips takes a systems view approach to imaging that delivers an end-to-end solution, helping provide consistently high-quality imaging services to referring physicians so they can deliver more definitive diagnoses, clear care pathways and more predictable outcomes for patients.

Patients are at the heart of the Philips MR System Ingenia Elition 3.0T, providing an experience to SimonMed Imaging that enhances comfort while reducing the likelihood of rescans [1]. With up to 80% acoustic noise reduction, voice guidance, and comfortable table positioning, patients are made to feel at ease, resulting in smoother, faster exams [2]. With revolutionary sensing technology, Ingenia Elition delivers innovative patient comfort and enhanced workflow capabilities for faster and more patient-friendly exams. This new paradigm in productivity applies to all anatomies and anatomical contrasts.

"This collaboration with Philips focuses on going beyond routine 3T MRI imaging to deploy the most advanced technology, often only available to an academic center, in accessible and affordable outpatient practice to greatly enhance diagnoses from early post-traumatic brain injuries to the most subtle orthopedic injuries," said Dr. John Simon, CEO, SimonMed Imaging. "Patients will literally have access to the entire spectrum of the newest techniques and enhanced diagnoses. Together with Philips, we continue our efforts to see beyond current technology as the rate of change is tremendous, and bring these powerful advancements to help benefit both providers and patients."

"Now more than ever, we continue our commitment to advanced technology and efficient workflows to drive enhanced integration, virtualization and digitalization to deliver precision diagnoses required during these most challenging times. Providing our customers with a clear path to precision diagnosis and treatment to help achieve better outcomes at a lower cost of care is at the center of all we do," said Kees Wesdorp, Chief Business Leader, Precision Diagnosis at Philips. "Our advanced MR technology, combined with our advanced integrated radiology workflows, is the latest innovation to further demonstrate our commitment in driving technology to help our forward-thinking customers like SimonMed advance care for their patients."

Philips advanced MR systems at SimonMed Imaging

Philips MR systems, including the Ingenia Elition, offer cutting-edge MR imaging techniques, while setting new directions for clinical research in 3.0T imaging based on gradient and RF designs. The system delivers superb image quality and performs MRI exams up to 50% faster [3]. Having access to new diagnostic techniques, such as mapping the white matter to evaluate brain trauma, supports confident diagnosis even in the most challenging clinical indications.

Philips Live at RSNA 2020

Philips brings together smart diagnostic systems and optimized workflows with integrated diagnostic insights - including imaging, monitoring, laboratory, genomics and longitudinal data - to enable a clear care pathway with predictable outcomes for patients. At the RSNA 2020 virtual event, Philips will showcase an end-to-end systems view of imaging to provide consistently high-quality imaging services to deliver more definitive diagnoses. Visit Philips Live at RSNA 2020 for more information on Philips integrated workflow solutions to connect data, technology and people across the diagnostic enterprise, helping to redefine radiology workflow efficiencies.

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.

1. Compared to the average number of rescans reported on the other five on-site Philips MR scanners without Ambient Experience and In-bore Connect. Results from case studies are not predictive of results in other cases. Results in other cases may vary.
2. Compared to scanning without ComforTone.
3. Compared to Philips scans without Compressed SENSE.

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...