Clinicians Worldwide Experiencing Efficiency Gains with Siemens syngo.via

Siemens HealthcareSince Siemens Healthcare launched syngo.via, its imaging software for multimodality reading of clinical cases, clinicians worldwide are reporting significant workflow efficiency gains. More than 100 installations of syngo.via have been delivered worldwide, and healthcare organizations are already benefiting from the advantages of syngo.via embedded in their clinical routine with advanced visualization tools and automated processes leading to faster reading times and lowered costs. Siemens will showcase a series of customer testimonials throughout its RSNA booth that will enable visitors to learn more about the solution first hand.

syngo.via helps increase reading efficiency across multiple specialties, including oncology, cardiology, and neurology - enabling clinicians to effortlessly access state-of-the-art advanced visualization tools across the clinical spectrum. Clinicians employing syngo.via are already attesting to enhanced workflow efficiency.

"syngo.via's speed and advanced applications are some of the things that impress me the most about this solution," explains Dr. Barton Milestone, Vice Chair, Diagnostic Imaging and Director of MRI, Fox Chase Cancer Center, PA.

"In the past, a lot of time was spent for routine cardiac imaging - anywhere from 30 to 50 minutes for a patient with benign results," said Peter Sögner, MD, Department of Radiology, Innsbruck Medical University, Austria. "Today with syngo.via, if the vessels are normal, in case of coronaries without stenoses, you can perform the same task in one minute."

"We have a high workload in our institution, so time is of the essence," states Prof. Dr. Gudrun Feuchtner, Department of Radiology II, Innsbruck Medical University, Austria. "With syngo.via, I can complete readings quickly and efficiently - in just minutes. Not only does this make my work easier, it allows for faster patient results."

Siemens Healthcare is conducting an efficiency survey about the most common advanced reading and visualization workflows with syngo.via across several clinics worldwide. This approach helps healthcare providers identify potential areas for efficiency gains and workflow optimization.

syngo.via background information
syngo.via integrates imaging devices, such as MRI, CT, and PET-CT scanners with Radiology Information Systems (RIS) and Picture Archiving and Communications Systems (PACS) of leading vendors, including Siemens' newest PACS solution, syngo.plaza. When syngo.via and syngo.plaza are combined, users are presented with direct, no-click access between the two technologies and a unified user-interface for faster reading. One of syngo.via’s distinct advantages is its Automated Case Preparation functionality, which automatically loads images into the appropriate application and sorts them into the corresponding disease-specific layout, thereby eliminating the need to manually choose the application, load data, and select corresponding layouts. Also unique to syngo.via is the Case Navigator functionality, which supports structured workflow by categorizing various workflow steps and aligning the proper images to each corresponding step. Furthermore, during the reading process, findings and measurements can be automatically tracked and listed with the one-of-a-kind Findings Navigator, which allows users to effectively navigate between various findings with just one click.

Related news articles:

About Siemens Healthcare
The Siemens Healthcare Sector is one of the world's largest suppliers to the healthcare industry and a trendsetter in medical imaging, laboratory diagnostics, medical information technology and hearing aids. Siemens offers its customers products and solutions for the entire range of patient care from a single source - from prevention and early detection to diagnosis, and on to treatment and aftercare. By optimizing clinical workflows for the most common diseases, Siemens also makes healthcare faster, better and more cost-effective. Siemens Healthcare employs some 48,000 employees worldwide and operates around the world. In fiscal year 2010 (to September 30), the Sector posted revenue of 12.4 billion euros and profit of around 750 million euros. For further information please visit: www.siemens.com/healthcare.

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...