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CT Siemens Somatom go.Up — Uzhorod

This project provided an opportunity to modernize the diagnostic department through a fully integrated technology upgrade delivered by Deliver Medical. Our team implemented a complete imaging solution, helping the facility transition to a modern diagnostic platform. The project for HEMO MEDIKA demonstrates the importance of selecting imaging technology that aligns with a healthcare provider’s specific clinical workflows, patient needs, and long-term operational goals.

Project execution stages

Design and site preparation

During the initial phase, our engineers conducted a comprehensive assessment of the clinic’s facilities and existing infrastructure in Uzhhorod. Working closely with the clinic’s management team, we developed a replacement plan for upgrading the existing CT scanner to a new system while taking into account the site’s layout and the power stability requirements necessary for high-precision imaging.

Removal, installation, and commissioning

The main phase of the project included a complete system replacement:

  • System removal: professional decommissioning and removal of the clinic’s existing CT scanner
  • Installation and commissioning: complete installation, configuration, and commissioning of the new 32-slice Siemens SOMATOM go.Up CT scanner
  • Training and system launch: staff training on the system interface and support during the transition to full clinical operation

We continue to provide ongoing technical support to ensure reliable system performance.

Why this equipment was selected

For Hemomedika Clinic, the Siemens SOMATOM go.Up was selected to meet the specific requirements of its neuroradiology practice:

  • High image quality: delivers the image clarity required for detailed examinations of the central nervous system
  • Optimized imaging protocols: supports advanced scanning protocols specifically suited for neuroradiology applications
  • Reliable performance: provides dependable operation under high patient volumes, ensuring uninterrupted clinical workflow