Diagnostic process optimisation with evolutionary programming

In paediatric cardiology a database and the supporting information system are indispensable br order to conduct more extensive and detailed investigations. Diagnostic decisions during the diagnostic process in congenital heart disease (CHD) must be supported by suitable decision support system. In the majority of children with CHD, the diagnosis should be possibly made before the complete diagnosis procedure Iras been accomplished with maximal information (possible probability of correct diagnosis 1.00) and minimal risk for patient and doctor (the minimal needed number of steps, especially for high invasive methods) and cost benefit. We developed a tool called DIAPRO that supports all activities concerned with the management of the diagnosis process and the management of the medical records database, but its main strength is in the decision making support concerning the optimisation of the diagnostic process. Ir enabler the paediatrician to perform cardiological examination in maximally rationalised manner.