“As Radiographers we welcome any advancement in digital X-ray that can improve patient positioning and image quality, enhance the workflow of departments and provide optimal patient care.” says Emily Keyte, Paediatric Team Manager Radiographer, Leeds Teaching Hospitals NHS Trust. “As a dedicated paediatric imaging department, the system is a great addition to the digital X-ray service and allows us to meet the workflow demands. The system ensures high quality images are produced in a timely manner providing a positive patient experience.”
With the touchscreen and a live camera features built into the Eleva Tube Head, patient positioning is improved by giving Radiographers clear view of the collimation area which can help alleviate potential imprecise collimations, such as with obese patients. 94% of users asked think that the live camera images at the workstation helps to avoid retakes1. As well as enhancing department workflow, the DigitalDiagnost C90 can be used as an educational tool. Unlike other digital X-ray rooms, the C90 allows student radiographers to observe positioning from the control room without having to crowd the patient and make them uncomfortable, supporting more efficient, patient-centric, teaching practices1.
The C90 also uses new image processing software to provide the highest quality images of any anatomical area and to remove bone structures from chest images for an unobstructed view of the lung fields and soft tissue, which results in more confident diagnoses4.
“Radiography is vital to many areas of medicine, and our aim is to support clinicians provide the best for their patients, by delivering the most advanced tools,” said Paddy Lightfoot, Modality Specialist DXR, Philips UKI. “By developing next generation software that drives workflow efficiencies as well as advanced imaging capabilities, Radiographers can deliver faster exams, with more flexibility, without compromising on diagnostic confidence and patient care.”
1Validation with 25 participants in test environment, Hamburg 2018
2Based on 4 images on average per examination
3Little, K.J., et al. (2016) Unified Database for Rejected Image Analysis Across Multiple Vendors in Radiography, Journal of the American College of Radiology, 14(2),
4Riverain: Freedman et al Radiology July 2011