As the first truly synoptic radiology reporting system of its kind, our flagship product Graid aims to revolutionize cross-border teleradiology by multilingual structured medical reports, automatic finding and diagnosis suggestions, score calculations, image labeling for research and AI model training purposes, voice-controlled navigation and standardized texts to enable unambiguous communication between physicians. All this on an ergonomically designed user interface to shorten the time spent on creating reports and make things as convenient as possible.
Reporting with Graid results in less human error and misdiagnosis. It saves you time, allows you to better utilize your resources and achieve higher standards at your work. Cut the complications and make the most of your potentials. Graid brings you the quality and efficiency you need whether you're a radiologist or a manager.
At your request, Graid reads the PACS, monitors your activity in the DICOM viewer, communicates with external AI modules, and eventually writes your report into the RIS / HIS or wherever you prefer it. It processes and makes a bunch of data available, but without collecting a single piece of PII or any sensitive information about you or your patients. It does its job studiously and conscientiously. Regardless of you choosing to keep your data locally or in the cloud.
We provide no rigid reporting templates that ten radiologists would rather have in ten different ways. Instead, we've built Graid around one thing: the human body and its everlasting structure - which is not a matter for debate. Templates and even standards come, change and go, whilst the human body stays. It is the subject of every medical exam and each radiological examination is about a specific part of it.
So when you select an exam for reporting, Graid extracts the relevant part of the virtual human being it knows and generates the scheme you will use for the reporting based on that. Since it knows the human in its entirety, understands the synergy between its building blocks and diseases, as you report it will constantly look for interrelations to offer frequently associated and coexisting pathologies.
Our goal is to have Graid guide you through the whole reporting process with its intelligent suggestions and also warn you if inconsistencies in your report arise. Until you arrive at the final diagnosis.
With Graid you can write your reports without typing a single word. Just navigate its adaptive UI, pick and set options - might as well using your voice, and the report is generated simultaneously. In real time, in multiple formats, also as flowing text in the language you choose - whether you speak that or not.
As opposed to common text translation, Graid's fully accurate linguistic renderer you can blindly trust. Driven by deeply structured data sets and language-specific grammatical rules, it will never err. Because it's mathematically incapable of doing so.
Or, if you want freedom, write or dictate freely as you wish. Edit, format and customize your reports at any places, insert images, or whatever. Your options are endless. Just remember: Structured reports are valuable reports from which even Graid itself will learn. To get smarter to help you on your next day in work all the more.
Whether it's usability, setup or upgrades, in all aspects of creating Graid we strive for ease of use and clarity. This you will experience in many ways.
First, there's no need to install a single byte of code on your computer or any existing hospital system to take full advantage of Graid - even if planning to use it connected to a RIS / HIS / PACS / EHR or like. Then, you'll do all your reporting for every examination using the same uniform user interface - which you can adjust to your needs in many ways so it best suits your work style. Besides, Graid is entirely cross-platform - just to mention some.
Graid streamlines and speeds up lots of things, but please note that it cannot do at least two: It won't open a beer for you after work nor cleans your dishes at home. Yet, we're constantly on the lookout for novel features of the future.