Abstract: A computer-implemented method for determining a predictive disease status of an inflammatory disease of a patient is compatible with a system including a remote platform and at least one mobile user device, wherein the at least one mobile user device is associated with the patient and is in data communication with the platform. The method comprises: receiving, at the platform, monitoring data indicative of the health state of the patient from the user device associated to the patient; determining, at the platform, a predictive disease state of the inflammatory disease of the patient based on the received monitoring data; evaluating the determined predictive disease status; providing the predictive disease status to a user at the platform and/or the patient at the user device based on the evaluating the determined predictive disease status.

Abstract: A clinical decision support system for estimating drug-related treatment optimization concerning inflammatory diseases, comprises: a computing unit configured to host a plurality of prediction models, the computing unit including an input interface designed for receiving input data and an output interface designed to output result; a plurality of different trained prediction models, each model trained to predict the probability of treatment outcomes for a number of different drug-related treatment options and for a specific patient-group; a selection unit configured to automatically select one a prediction model depending on the input data according to a predefined selection scheme. The clinical decision support system is configured to produce output results by processing the input data with the selected prediction model.