Surgical Instrument Scanner
SUIS is a workstation that uses Artificial Intelligence to automate checklist control during the packaging process and support operator training, ensuring speed and accuracy in the recognition of surgical instruments.
Automate Surgical Set Packaging.
SUIS is an intelligent workstation powered by Artificial Intelligence that quickly recognizes surgical instruments without the need for DataMatrix or RFID. It assists operators at packaging stations, improving process precision and safety.
The step-by-step guidance provided by SUIS makes set assembly simple, reduces training time, and minimizes human error. The system ensures full procedural compliance and optimizes the efficiency of the Central Sterile Services Department (CSSD).
Request a Demo
Discover how our system works
Explore the capabilities of SUIS and see how it can transform the packaging workflow in your sterilization department.
A personalized demonstration will show all the system’s innovative features in action. Our team will guide you step by step, answering all your questions and showing how SUIS can enhance efficiency, safety, and accuracy in operators’ daily work.
Case History
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Azienda Ospedaliera Universitaria Integrata di Verona – Verona
Discover more…: Azienda Ospedaliera Universitaria Integrata di Verona – VeronaThe collaboration between AOUI Verona and Promedital represents a concrete example of how technology can…
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AUSL Modena – The Modena Local Health Authority
Discover more…: AUSL Modena – The Modena Local Health AuthorityThe collaboration between AUSL Modena and Promedital demonstrates how the flexibility and modularity of digital…
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CTO – Centro Traumatologico Ortopedico di Torino
Discover more…: CTO – Centro Traumatologico Ortopedico di TorinoThe collaboration between the CTO of Turin and Promedital represents an effective and accessible model…
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Gruppo Industriale Di Giacomo Srl
Discover more…: Gruppo Industriale Di Giacomo SrlThe collaboration between Gruppo Industriale Di Giacomo Srl and Promedital demonstrates how technology can profoundly…
FAQ
What technologies does SUIS use to recognize surgical instruments?
SUIS employs advanced computer vision and Artificial Intelligence algorithms to automatically identify surgical instruments. The system is trained on an image database and analyzes features such as shape, size, and position of the tools, ensuring fast and accurate recognition even of visually similar items.
Does SUIS require instruments to have DataMatrix or RFID?
No, it does not. SUIS is designed to recognize instruments automatically, without the need for DataMatrix codes, RFID tags, or special markings.
This allows seamless integration with existing instrument sets, without additional costs or modifications.
Do I need to change my workflow to use SUIS?
No. The system is designed to integrate easily into existing workstations.
SUIS adapts to your operational workflows, guiding the operator step by step and improving efficiency without disrupting current processes.
Can the system be used by non-expert staff?
Yes, absolutely. SUIS is designed to be intuitive and user-friendly for all operators, including less experienced ones.
It provides visual, acoustic, and voice guidance during assembly, significantly reducing staff training time.
Is SUIS compatible with other traceability systems?
Yes. SUIS is natively integrated with the SIXSTER system for full sterilization cycle management.
It can also be connected with third-party software, ensuring data consistency and continuity across traceability processes.
What are the efficiency benefits for the sterilization department?
SUIS optimizes the preparation time of surgical sets, reduces counting and assembly time, and minimizes errors.
This results in higher staff productivity, less downtime, and a smoother workflow, allowing more sets to be processed in less time.
Contact us
We’re here to answer all your questions and provide the best possible support.
Contact us to learn how we can help you or to receive more information about our innovative services and solutions.
Who Chose Us
