The Claraspital Radiology Department offers the entire spectrum of radiological diagnostic procedures including a wide range of non-vascular interventions. Patients of the Claraspital, patients of referring doctors and patients of other hospitals are examined here.
The radiology department at the Claraspital specialises in the diagnosis of diseases of the abdominal and pelvic organs, oncological issues and radiological interventions.
«In radiology, we take a holistic view of our patients. We perceive the entire body or all structures that can be imaged in an examination. This requires outstanding analytical skills and a great deal of knowledge about the manifestations of diseases.»
Great at recognising the smallest changes
The combination of state-of-the-art equipment with comprehensive expertise is the basis for diagnostics and treatment at the highest level. The Claraspital has state-of-the-art imaging procedures such as angio-hybrid CT, spectral CT, magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, mammography, intervention unit/fluoroscopy and conventional X-ray. Fortunately, there is plenty of space: the radiology department on the ground floor has been extended and the X-ray area enlarged. The close proximity of the emergency ward to radiology and nuclear medicine
ensures even faster clarification of emergency patients and an even better quality of care.
Soothing ambient solution
High-tech medicine can cause anxiety and a feeling of anonymity among patients. At the Claraspital, we counter this with personalised care
and take as much time as possible for each patient. A fully-fledged ambient solution and shortened examination times as well as distraction and information about the examination procedure through image and sound signals help in this respect.
Interventional radiology
Interventional radiology involves therapeutic procedures using radiological techniques. One specialisation at the Claraspital is ablation, which makes it possible to destroy tumours in a gentle and targeted manner. To do this, we insert needles into the centre of the tumour. At the front of the needle is a microwave transmitter that can be used to destroy the tumour cells. Another state-of-the-art cancer treatment is used when the entire right half of the liver is affected by cancer. In this case, we close the liver vein
vein and the portal vein and thus cut off the tumour from the blood supply. We then wait two to four weeks until the healthy left half of the liver has doubled in size.
left half of the liver has doubled in size so that the surgeons can remove the right part.
Central archiving and communication system for digital image data and use of AI
The importance and complexity of imaging procedures and their processing is increasing. The Claraspital has a centralised system for all imaging and reporting. The main added value for patients is that multiple examinations can be avoided, their images are available in the future and can also be placed in an electronic patient dossier if necessary.
The archiving and communication system for digital image data at the Claraspital also forms the technological basis for future process optimisation. The comprehensive image file can not only be made available to doctors at the Claraspital for treatment, but can also be accessed by referring physicians via modern portal solutions.
The use of artificial intelligence will be intensified in future on the basis of the shared image archive. AI is a technology that makes it possible to redesign and improve healthcare across the entire treatment process, from prevention to aftercare. The radiology and nuclear medicine departments at the Claraspital are pioneers in the field of AI via Sectra in Switzerland and even Europe. These specialities are currently facing the challenge of exponential data growth, a consequence of the increase in radiological examinations. AI can reduce the workload by completing monotonous tasks in less time, allowing doctors and specialists to focus on more complex tasks that require human interpretation. For example, AI algorithms can analyse image data using a scoring model to support radiologists.
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