Fujifilm Sonosite, a provider of point-of-care ultrasound (POCUS) solutions, is expanding its portfolio with the launch of the Sonosite ST system to support procedural workflows.
Sonosite ST offers a 21-inch all-touchscreen interface, a large 10”x7.5” image area, automated setting optimisation for each exam type, and Auto Steep Needle Profiling (SNP), among others.
It provides optimised exam types for POCUS-guided procedures, including nerve block administration in regional anaesthesia, vascular access in emergency medicine, and joint injections in musculoskeletal care.
Sonosite ST enables proceduralists to quickly access the appropriate exam types for their procedures at the touch of a button.
The system provides proceduralists with the most needed optimisations, annotations, and calipers to simplify their workflow, said the medical device company.
Fujifilm Sonosite president and CEO Rich Fabian said: “As the company that invented POCUS we’ve spent the last 25 years working with clinician customers to innovate and advance the use of ultrasound at the patient bedside.
“That collaboration has once again delivered results in the form of a system designed for proceduralists, something engineered to help them save time, increase confidence and improve outcomes.
“At a time when hospitals are facing unprecedented clinical staffing challenges, we believe Sonosite ST has the potential to improve both the clinician and patient experience, while at the same time enabling increased throughput.”
Fujifilm Sonosite said that similar to its all-other POCUS systems, Sonosite ST is created for durability, reliability, and ease of use standards.
Sonosite ST is designed based on the same family of transducers that are used for Sonosite PX and Sonosite LX devices, to support compatibility across systems.
The ultrasound transducers are drop-tested to one meter and the work surface is sealed to the edge for simplified cleaning and disinfection.
In 2019, Fujifilm SonoSite teamed up with the Allen Institute of Artificial Intelligence (AI2) Incubator, to interpret ultrasound images using artificial intelligence (AI).
