Time is the scarcest resource in medicine. We give it back.
Emeralgo - the solution from Computer Vision
Emeralgo is the orthopaedic software developed by Computer Vision. It supports medical professionals in creating findings more efficiently and optimizing existing clinical processes.
Thanks to its seamless integration into existing systems, Emeralgo ensures that processes are more clearly structured and relevant information is available more quickly.
The requirements in radiology are constantly increasing, while at the same time the available resources remain limited. Radiologists are under increasing pressure to process more cases in less time - without compromising on diagnostic quality.
The need for solutions that create efficiency without disrupting existing processes is constantly growing.
Experience Emeralgo in action
Learn how Emeralgo makes your reporting more efficient and sustainably improves your clinical workflows. Request a demo or get in touch with our team directly.A solution that integrates into your workflow
Emeralgo was developed specifically for radiology to make reporting more efficient - without replacing existing systems.
The software integrates seamlessly into existing infrastructures such as PACS and RIS and supports radiologists directly in their work process. By using computer vision, relevant image information is automatically recognized, highlighted and processed in a structured manner.
The result is a noticeable relief in everyday clinical work and a sustainable increase in efficiency.
Measurable efficiency in everyday clinical practice
The use of automated analysis procedures significantly speeds up the diagnostic process and improves quality at the same time. Repetitive manual tasks are reduced, saving valuable resources. The results are available in a structured and consistent form, which increases traceability and comparability. Relevant information is available more quickly and can be used in a targeted manner. This creates more space for the essentials: well-founded medical decisions and optimal patient care.
