Innovation and technology are among the markets of hope in the health economy, as a recent study underlines.

Under the aegis of the Weitmoser Circle, of which ERS is a member, the first results of a study conducted by Deloitte among medical executives show that telemedicine is considered to be of particularly high importance in future cost optimisation and benefit enhancement in medical organisations. The first study results were presented on 17 November 2017 during the annual meeting of the Weitmoser Circle. The research was conducted to identify processes and levers for increasing efficiency in health economics among medical managers of hospitals.

The study also shows that the user-friendliness of IT applications is the lever with the greatest estimated effectiveness for increasing efficiency in the hospital sector.

For us at ERS, the study results mean,

1) we are on the right track to sustainably improve the medical landscape with our services
2) that our IT solutions are already very user-friendly. Our independently developed IT tool XTIS enables us to transfer our findings fully EDPG/eGA/ELGA-compliant into the RIS/KIS systems of our customers.

Further links:

http://www.weitmoser-kreis.at/

What if you could improve the diagnostic quality and utilization of your existing CT scanners without incurring the high cost associated with replacing them and refurbishing the CT suite? Using Deep Learning technology PixelShine can automatically enhance and harmonize the image quality of studies acquired by any CT scanner at the lowest possible dose – extending the life of older scanners and deferring costly and disruptive replacement projects. You find this exceptional opportunity on our AI platform Radailogy. It has a substantial impact on the traditional revenue stream of hospitals and imaging providers.

New deep learning CT scan processing software is now available through Radailogy that can help everyone overcome the limitations of Iterative Reconstruction. PixelShine from AlgoMedica automatically improves the quality of any CT scan by reducing image noise without reducing the conspicuity of fine details. It improves the image quality of CT studies acquired at any dose level, to make lower dose scanning possible for all CT studies. In addition, PixelShine is vendor neutral; so it works with all CT scanners, regardless of the vendor, including older and refurbished systems.

The cumulative effect of the exposure to CT imaging compounds the need to achieve the lowest per-scan patient dose possible. While low-dose CT imaging techniques exist, there is often a compromise that must be made in both image quality and cost. Lower-dose studies have higher image noise, which results in lower quality images, which are more difficult to analyze. Iterative Reconstruction (IR) is still the most used technique for improving the quality of lower-dose imaging studies. However, IR can take substantially longer to process images and is prone to producing images with a waxy or blurry appearance if applied too strongly on low-dose studies. Deep Learning CT Processing (DLCP) is the next generation in CT image noise reduction techniques. DLCP not only improves CT images acquired during typically low-dose procedures like lung screening and pediatric exams, but it also presents the ability to significantly reduce radiation exposure for other higher-risk categories such as oncology and obese patients. In addition, it can improve the image quality of ultra-low-dose abdominal, cardiac, and brain scans. Radailogy presents PixelShine by AlgoMedica in order to assist to the reduction of CT radiation dose and from now on to substantially improve image quality in low dose CT studies.