Clinical decision support system application are a class of application to support physicians in their choice in treating patients. Cancer treatment is one of the area where Cdss applications can help physicians due to strict recommendations and the need for deciding if patients are eligible to enter clinical trial.
In Poland a pilot study conducted at the Marie-Curie Oncology Center in Warsaw (MCMCC) revealed that medical errors lead to decrease of patient survival at about 20%. The key point of our prototype was to educate and/or directly help medical practitioners in applying recommended treatment.
Our application, called Clinical decision support system (Cdss) for GIST cancer treatment, has been developed in collaboration with the MCMCC to help physicians treat GIST cancer and is currently used experimentally in this center. Our application has been formalized using semantic web standards from the application structure to the patient and clinical recommendations that are shown. The application is using fast reasoning to decide what is the next step in the treatment and to add recommendations to the form that is shown. This kind of technologies have already been applied to such applications but never to this extent. The Cdss application that we have implemented is a practical implementation of the semantic form paradigm that we are working on in our company: a way to formalize forms by using semantic technologies to enhance productivity and data consistency.