What is a Radiology Operating System?
The current radiology IT stack is made up of multiple federated systems: PACS, RIS, EHR, etc. Radiologists must shoulder the cognitive burden of managing these disparate systems and keeping them aligned. Sirona believes an integrated user interface, designed around the radiologist, will lead to a better radiology workspace.
Just like the driver of a car is able to focus on the road ahead without having to worry about the intricacies of the combustion engine, the goal of RadOS is to allow radiologists to focus on their own ‘road ahead’: patient, study and findings.
Unify Radiology IT
The current fragmented radiology IT landscape creates interoperable challenges, often resulting in radiologists requiring several workstations in order to serve multiple facilities common in a radiology practice. A cloud-native unified platform would reduce complexity, minimize administrative burdens, and save costs.
Simplify Radiology Workflow
With a unified platform that supports a radiology workflow from end to end, the latest computational tools can be leveraged to easily automate tedious and repetitive tasks, such as hanging protocols or prior study comparisons. Powered by machine learning with clinical contextual understanding, image interpretation and report generation can become more efficient.
Amplify Practice of Radiology
Medical imaging is a cornerstone of modern medicine, with patients and referring physicians ever more reliant. But with increasing volumes and reduced reimbursement, today’s radiology practices are often driven by quantity instead of quality. Through simplified and more efficient workflows, radiologists and the practice of radiology can once again focus on its proper consultative role throughout the healthcare continuum.
Work as fast as you can think.
A common complaint about AI tools is that they often slow radiologists down. Recent studies have shown that most AI tools actually increase workload.1 No wonder real-world usage and adoption by radiologists have been low.
We believe in making software that radiologists actually want to use. Instead of having radiologists conform their workflow to make things work, it’s time for technology to keep up with the demands of a modern day radiology practice.
Why not leverage computer vision to understand which part of the anatomy a radiologist is viewing and insert dictated findings in the right place in the report? Why not use natural language processing to provide structured reports without requiring structured dictation?