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- Development of a decision support system in oncology for prostate adenocarcinomaPublication . Costa, João Pedro Leite Silva; Domingues, Nuno; Moura, FilipeHealthcare professionals are constantly faced with new developments on the medical practice. In Oncology, diseases have high heterogeneity, and a greater need of providing individual healthcare measures exists, since every patient displays different characteristics, medical histories and lifestyles. Individualized medical practices are a constant process of decisionmaking, with several possible courses of action. Since choosing the best available option can maximize the success of treatment and minimize the harm done to the patient, a greater need emerges for healthcare professionals to be vigilant of all developments in the medical research. The goal of this study is to develop a knowledge based clinical Decision Support System (DSS) for assessment and treatment in Oncology, named Oncology Custom Assistance Tools (OnCATs). A clinical DSS is a computerized system designed to assist a healthcare professional on performing a very high-demanding task that involves making one or more decisions, while saving time and reducing errors. The ultimate focus the project is to evaluate if OnCATs can precisely characterize a patient into a definitive risk group, assess all the available treatment options and individually prescribe every treatment that is part of the chosen treatment course. It was understood that OnCATs can accurately simulate the clinical workflow for treatment of localized prostate cancers patients, providing clear evidence-based information, useful for any kind of task in the oncology workflow of treatment. The system also constitutes a method for a healthcare professional to assess all treatment variable options, in a short period of time, before making a definitive decision, which allows saving time and resources, optimizing the overall flow of work. The system’s output is based on a universal well-understood medical language, easy to comprehend and report by all healthcare professionals. The development of this algorithm proved to be and efficient way to computerize a medical process, and make it assessible to healthcare professionals, by the means of an easy-to-use digital tool. Prostate cancer was shown to be an adequate starting point for the development of the system, due to providing a solid learning curve, all the steps necessary to expand this method to other kinds of diseases are now well stablished, showing great promise on its future applications.