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Managing QA data can be an exercise in frustration. As clinics get larger and infrastructure changes, it becomes more and more difficult to stay on top of all the QA data. Fortunately, Klio is capable of managing every single machine: LINACs, HDR Afterloaders or CT Scanners in one centralized database. There are no vendor restrictions, and both data and workflows can be quickly and easily standardized across machines. Klio’s data management capabilities also go beyond machines: all QA tools such as ion chambers and phantoms from any vendor can be tracked in the system, along with all clinical users and their assignments.
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Klio employs a robust, secure, cloud-based platform for managing QA data. QA data can be accessed from any computer with internet access and a valid account. Say goodbye to local server installations, operating system restrictions, and hassles with software upgrades.
Klio’s robust backend permits data mining to monitor and predict machine performance. Both data and procedures are tracked for usage, leading to clinical standardization.
QA data can be tracked over time to determine how well a machine is functioning and what areas should be looked at more closely by service technicians. This also maximizes machine uptime by catching potential issues before they become serious.
Summary reports can be generated an viewed on demand, permitting simple, comprehensive visualization by both service technicians and state inspectors. Individual parameters can be compared across multiple machines, giving a full picture of clinical machine performance.
Maximize clinical uptime and catch potential performance issues before they become serious. Directly compare specific variables between machines to visually analyze performance across the entire clinic.
Klio's robust backend data tracking sets vetted clinical tags for all form entries, while allowing users to set whichever frontend labels they wish. Vocabulary usage will be tracked, leading to social and protocol standardization.
Click here to watch Dr. Rodney Wiersma's presentation on the importance of implementing data and procedural standardization in Medical Physics QA.
Klio employs scalable algorithms to automatically analyze DICOM data and extract the needed values, auto-filling the QA forms in the process.
• CT Image Analysis
• MLC Picketfence
• kV and MV Imaging
• Starshot and Film analysis
• Algorithms for Custom Phantoms
• and more...
There are no one-size-fits-all forms in the world of medical physics QA. That’s why Klio allows full customization of QA forms. From changing the layout to suit your preferences, to adding sections for new machine add-ons and adjusting the error margins from one machine to the next, every element of QA forms can be custom-tailored to suit your clinic’s individual needs.
These forms can also be shared and even directly collaborated on with Klio users from other institutions.
