A computer program product, comprising a computer-readable code to be executed by one or more processors when retrieved from a non-transitory computer-readable medium, the computer-readable program code including instructions to carry out a method for assessing the risk of the development of disseminated intravascular coagulation in a patient diagnosed with systematic inflammatory response syndrome by means of a computing device with a graphical user interface, the method comprising: controlling a means for acquiring and storing patient specific diagnostic data to acquire said patient specific diagnostic data, including initial vital signs and biomarker measurement data from said patient, and to input and store said patient specific diagnostic data on a non-transitory computer readable storage medium, wherein the biomarker measurement data comprises total bilirubin and lactate measurement data; controlling said means for acquiring and storing patient specific diagnostic data to monitor said vital signs of said patient and to continuously input and store said vital signs and biomarker measurement data on said non-transitory computer readable storage medium; pre-processing said vital sign data, including discarding samples which are outside a physiological range and removing outliers from said data; windowing of said vital signs data to obtain vital signs windows; calculating statistical features from said vital signs windows; analyzing said statistical features in combination with the biomarker measurement data by inputting the statistical features and the biomarker measurements into a predictive model that is stored on said non-transitory computer readable storage medium, wherein the predictive model is configured to output a disseminated intravascular coagulation prediction; and determining whether the disseminated intravascular coagulation prediction meets a disseminated intravascular coagulation probability threshold, wherein said probability threshold is predictive of the likely development of disseminated intravascular coagulation. controlling a means for acquiring and storing patient specific diagnostic data to acquire said patient specific diagnostic data, including initial vital signs and biomarker measurement data from said patient, and to input and store said patient specific diagnostic data on a non-transitory computer readable storage medium, wherein the biomarker measurement data comprises total bilirubin and lactate measurement data; controlling said means for acquiring and storing patient specific diagnostic data to monitor said vital signs of said patient and to continuously input and store said vital signs and biomarker measurement data on said non-transitory computer readable storage medium; pre-processing said vital sign data, including discarding samples which are outside a physiological range and removing outliers from said data; windowing of said vital signs data to obtain vital signs windows; calculating statistical features from said vital signs windows; analyzing said statistical features in combination with the biomarker measurement data by inputting the statistical features and the biomarker measurements into a predictive model that is stored on said non-transitory computer readable storage medium, wherein the predictive model is configured to output a disseminated intravascular coagulation prediction; and determining whether the disseminated intravascular coagulation prediction meets a disseminated intravascular coagulation probability threshold, wherein said probability threshold is predictive of the likely development of disseminated intravascular coagulation.