We all know how Github deals with software collaborations and optimizes code checks. Well, in a similar manner, VarHub will allow clinicians and doctors to effectively collaborate on reviewing the plans necessary for cancer radiotherapy and accelerate the process of evaluating plans.
Our platform is a web-based application that provides fast and automated tools for cancer plan review.
In the evaluation process, there are 2 main steps: the collaboration between clinics and clinicians to tune the technical parameters of the radiations and the final review and approval of the patient's physician. That is why we designed 2 different logins for each of them.
How it works? When a new plan goes into the database, we first run some automated tests on it so that we can evaluate its features based on some normal ranges. If a tests fails, we will raise a flag for that particular feature of the plan so that other clinicians can review it. We also embedded the option of asking for another clinician's opinion. Otherwise, if all the tests pass, the plan will display a green status and once approved by the clinic, it will be sent to the physician. From his account, the physician can either approve a plan to be sent to the patient or tag the clinic or other physicians, for peer review, along with his suggestions or concerns.
Our tests are build with the Varian API and look into various aspects of the plan, like the relative volume reached by a specific radiation dosage, the acceptable dosage values allowed on critical organs, the accuracy of the radiation on the target tumor or the distribution of high dosages within the tumor.
All this happens simply and fast, over the internet and it is easily accessible from any place. We are saving a lot of time by highlighting the main anomalies through our tests and allowing for easy back-and-forth communication between all involved parties.
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