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GE Healthcare Unveils New Imaging Tech and Intelligent Apps At Arab Health 2020 that Deliver Significant Cost Savings And Enhanced Productivity

At Arab Health 2020, GE Healthcare on January 27, 2020 launched more than 30 new imaging intelligent applications and smartdevices designed to drive efficiency in clinics and hospitals, goals to double productivity and cost savings for systems by 2025.

For healthcare executives, the new offerings assist save costs, improve technology utilization, and increase patient volumes. Clinicians also will gain from intuitive workflows, enhanced diagnostic confidence and less rework, allowing them to devote more time for patients.

Now, more than ever, clinicians face tremendous pressure to deliver optimal patient care and clinical results with fewer resources, said Kieran Murphy, President and CEO of GE Healthcare. By integrating data, intelligent software applications, and smartdevices, we are enabling clinicians to make faster, more informed decisions to give them time with what matters most: their patients.

Healthcare in efficiencies lead to nearly $1trillion of annual financial waste in the United States alone. Healthcare executives report costs and transparency as their number one concern and need new solutions to help solve these challenges. Recognizing the opportunity to reduce waste and increase efficiency across the healthcare industry, GE Healthcare is providing new intelligent applications and smartdevices at Arab Health 2020 being held until January 30 at Dubai World Trade Center.

Several of these new smartdevices and intelligent applications were developed using Edison, GE Healthcares secure intelligence platform that helps both GE Healthcare developers and select strategic partners to design, develop, manage, secure and distribute advanced applications, services and artificial intelligence (AI) algorithms quickly. The innovative solutions include:

AIR Recon DL, an Edison application presenting True Fidelity images, is a GE-first, deep- learning MRI reconstruction technology application designed to improve signal-to-noise and image sharpness and enable shorter scan times. This application was improved using a neural network trained on tens of thousands of images using GEs Edison AI Platform.

Critical Care Suite is an industry-first, FDA cleared collection of AI algorithms embedded on a mobile X-ray device for triage. Built in collaboration with clinical partners, using GE Healthcares Edison platform, the AI algorithms help reduce the turn-around time for radiologists to review a suspected pneumothorax, a type of collapsed lung. Additionally, Critical Care Suites quality AI algorithms help technologists reduce image quality errors and improve efficiency by simultaneously auto rotating images as well as analyzing and flagging protocol and field of view errors on-device. The Intelligent Auto Rotate AI alone can save highly-trained technologists at a medium to large size hospital more than 70,000 manual clicks that amounts to nearly 20 hours, or three working days a year spent rotating chest images on portable X-ray machines.

Edison Open AI Orchestrator is designed to orchestrate AI at scale for imaging workflows. The new Edison Open AI Orchestrator simplifies the implementation, deployment, support and scaling of multiple AI applications including from partners iCAD and MaxQ. Designed to seamlessly integrate clinical applications into the radiology PACSeading workflow, this offering reduces the complexity of multiple systems and algorithms working together that could lead to error and risk if implemented incorrectly.

Revolution Maxima with AI-Based Auto Positioning is a powerful, high performing and reliable CT that maximizes every step of the CT workflow, from referral to report. Enabled with AI-based Auto Positioning technology, Revolution Maxima uses real-time depth sensing technology to generate a 3D model of a patients body to pinpoint the center of the scan range and automatically align it to the isocenter of the bore. Altogether, it is designed to simplify, streamline and automate the entire CT experience for one click, hands-free patient positioning.

OEC Touch for OEC Elite CFD features a new control panel located right on the C-arm. During a variety of clinical procedures, C-arm technician soften move back-and-forth between the C-arm. While these movements are necessary, they can disrupt surgical flow and cause inefficiencies and block the surgeons view of the images during procedures. The new control panel, OEC Touch, is designed to eliminate the need to move to a separate workstation and reduce disruption during surgery.

Embo ASSIST with Virtual Injection is an Edison application designed to help clinicians perform complex embolization procedures. It helps analyze the vasculature and simulate injections dynamically to help determine the embolization strategy to avoid embolizing healthy tissues in the brain or prostate with just one click. It is designed to provide clinicians with an intuitive solution to support clinical decision-making and drive efficiency in the interventional suite.

Clinical Command Centers are designed to improve outcomes and efficiency with new real-time decision support tools along with process improvement targeted using digital twins of patient flow. Each Clinical Command Center features 520decision support apps or Tiles which are used system wide as well as in the command center to pinpoint opportunities to minimize length of stay, increase imaging utilization, get ahead of patient bottlenecks or issues and much more.

Update to GE Healthcares portfolio follow the launch of the Edison Developer Program which expands the Edison ecosystem to accelerate the adoption and impact of advanced applications and developer services across health systems. The Edison Developer Program helps healthcare providers gain easier access to market-ready algorithms and applications by directly integrating these technologies in to present workflows.

GE Healthcare is showcasing its efficiency-focused applications and devices at Arab Health at Dubai World Trade Center, Sheikh Saeed Hall, Booth SB310.

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