Curing cancer requires an immense amount of care, expertise and time from diagnosis to treatment. Oncologists thoroughly assess the individual characteristics of the tumor and available treatments before treatment begins.
The right initial assessment goes a long way in a satisfactory treatment. Hospitals set up multidisciplinary case conferences to aide cancer specialists in treating patients. Experts from research teams such as oncology, radiology etc, referred to as the Tumor Board, attend these conferences to provide inputs. Each board has a moderator who conducts these meetings. They prepare cases for discussion by gathering health records and all pre-requisite medical data of patients before the meeting.
It may be evident by now that these conferences are time-consuming and require a lot of coordination. We have only considered the administrative expense till now and not the cost of medical expertise. Wouldn’t it be great if one could automate this process and make these discussions more productive and smaller? It can save time, improve decision making and in-effect another human life.
In mid-2017, we began working on a web application that aim’s to improve the Tumor Board workflows by bringing their operations to a common cloud platform. Hospitals onboard their network of experts on the application. Oncologists can add case data to the application, from here Tumor Board moderators schedule them for upcoming Tumor Board and request research teams to add their reports and inputs.
Since its launch, the application has been used by Tumor Boards in Hospitals. An app reaches a begins a new journey when users like the app and they begin requesting features that could probably make them more productive. These are some of the highlights of the work ColoredCow did in the last 6 months.
Case preparations require collecting clinical information about the patient. The relevance of clinical parameters changes with the type of tumor. For example, in case of breast cancer, a parameter HER2 holds extreme importance but it loses relevance for prostate cancer. The application prompts users to enter required information based on the cancer type. This reduces the effort of administrators during case preparation.
AI for available treatments
The application analyses clinical information of a case and suggests relevant treatments being conducted in their own or affiliated facilities. We built the feature as a standalone API (integrated into the main application) which can be used by other 3rd-party apps. You can read more on this API here.
Effective team communications
We improved communications between members of a Tumor board. The app can alert the board real-time when their inputs are required. Summarised email reminders are sent for cases pending in their queue.
Cancer Conferences are time-consuming and involve a lot of coordination among specialist
An app that makes Cancer Conferences productive and less time-consuming.