A molecular diagnostics decision support system (MD-DSS) for providing patient related information, the system comprising: - a patient information database storing patient data about a patient, - a data input section adapted for receiving input data (MDx) about the patient from an associated molecular diagnostic measurement device, the input data (MDx) comprising data chosen from the group consisting of: genomic, transcriptomic, metabolonomic, epigenetic, and proteomic patterns, - a clinical guideline database operably connected to communicate with a guideline execution engine (CL-EE), - a knowledge database operably connected to communicate with an inference engine, the knowledge database comprising an ontology, - a first decision support mechanism, - a second decision support mechanism, and - a middleware section interconnecting the patient information database, the data input section, the clinical guideline database, the knowledge database, the first decision support mechanism, and the second decision support mechanism, wherein the middleware section is arranged for allowing input data (MDx) to be processed into patient related information by the first and the second decision support mechanism using the patient information database, the clinical guideline database and the knowledge database, wherein the first and the second decision support mechanism are operably coupled through the middleware so as to interact (10, 11, 51, 60, 61, 62) during the processing of the input data (MDx); wherein the first and the second decision support mechanism interact via one or more loose couplings and/or via one or more tight couplings (60, 61, 62), wherein via a loose coupling, a resulting output of the first decision support mechanism is applied is as input in the second decision support mechanism and, via a tight coupling (60, 61, 62), an intermediate value of the first decision support mechanism is applied is as input in the second decision support mechanism; and wherein the first and/or the second decision support mechanism is chosen from the group consisting of: a Bayesian network, an artificial neural network, a support vector machines mechanism, a K nearest neighbor mechanism, a genetic algorithm mechanism, a decision tree mechanism, a rule based system, a case based reasoning mechanism, and a fuzzy logic based mechanism. - a patient information database storing patient data about a patient, - a data input section adapted for receiving input data (MDx) about the patient from an associated molecular diagnostic measurement device, the input data (MDx) comprising data chosen from the group consisting of: genomic, transcriptomic, metabolonomic, epigenetic, and proteomic patterns, - a clinical guideline database operably connected to communicate with a guideline execution engine (CL-EE), - a knowledge database operably connected to communicate with an inference engine, the knowledge database comprising an ontology, - a first decision support mechanism, - a second decision support mechanism, and - a middleware section interconnecting the patient information database, the data input section, the clinical guideline database, the knowledge database, the first decision support mechanism, and the second decision support mechanism,