RTI Presents “How to Advance Medical Imaging with Data-Centric Connectivity” Complimentary Webinar

SUNNYVALE, Calif., Sept. 10, 2018 (GLOBE NEWSWIRE) — Real-Time Innovations (RTI), the Industrial Internet of Things (IIoT) connectivity company, today announced it is hosting a complimentary webinar, “How to Advance Medical Imaging with Data-Centric Connectivity.”

Today’s imaging systems are saving lives by making the unseen visible to a degree never before possible. Medical professionals can now view, in high resolution, the systems within the human body so they can diagnose pathological changes and precisely target therapeutic procedures. These imaging technologies will play a key role in the future of medical diagnostics and therapeutics. However, medical professionals are faced with challenges to connect the images to healthcare processes faster and more accurately for better patient care and outcomes.

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Leaders in the medical imaging space are looking for new technology that provides higher resolution images and faster image reconstruction, while also enabling an improved UI that incorporates multiple images and patient vitals. Additionally, digital transformation initiatives require that these complex devices transfer images and data throughout the entire healthcare ecosystem securely, reliably and in real-time.

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RTI’s Healthcare Market Development Director, David Niewolny, will address many of the challenges in developing next generation medical imaging devices through the use of a data-centric connectivity framework like the Data Distribution Service™ (DDS) Standard. By mapping medical imaging design challenges and value drivers to the benefits of a data-centric architecture, Niewolny will show how device manufacturers can use off-the-shelf technology to lower costs, shorten development time and meet the needs of a rapidly changing market.

This webinar will provide R&D executives, embedded engineers, program managers and consultants in the medical imaging space the opportunity to learn about the benefits of using a data-centric approach to connected healthcare for medical imaging systems.

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