A method for monitoring the medical state of a patient through a dynamically rendered synthetic two or three dimensional patient model, the patient model representing the medical state of the monitored patient and being rendered into a graphical representation of the patient, the method comprising: loading, from one or more patient monitoring devices, raw input data into a system memory wherein the raw input data includes one or more patient monitoring parameters indicative of the medical state of the patient; transforming the raw input data into corresponding patient monitoring quantities representing corresponding vital parameters of the patient wherein the patient model has at least one region (1, 1a, 1b, 1c, 1d, 2, 3, 4, 5, 6, 7, 8, 9) which is allocated to at least one patient monitoring quantity; automatically rendering the at least one region (1, 1a, 1b, 1c, 1d, 2, 3, 4, 5, 6, 7, 8, 9) depending on the current value of the at least one patient monitoring quantity; and re-rendering, based on one or more patient monitoring algorithms, in real-time, the at least one region (1, 1a, 1b, 1c, 1d, 2, 3, 4, 5, 6, 7, 8, 9) at pre-defined rendering frequencies which are associated with simplified state values representing discrete state value ranges of the corresponding monitored parameters, wherein a first rendering frequency is associated with a first range representing a normal medical state, a second rendering frequency is associated with a second range representing a first abnormal medical state where the monitored parameters are too low, and a third rendering frequency is associated with a third range representing a second abnormal medical state where the monitored parameters are too high, with the predefined rendering frequencies associated with the simplified state values being selected such that a switch between said predefined rendering frequencies can be recognized by a human observer, wherein changes of the rendering frequency for a particular region occur only in cases where the corresponding monitored parameter quantity crosses a respective predefined state switching threshold value, with respective predefined state switching threshold values separating the normal medical state from the first and second abnormal medical states, and each change of the rendering frequency indicating a simplified state change so that the patient model represents the real-time medical state of the monitored patient according to the respective current simplified state values. loading, from one or more patient monitoring devices, raw input data into a system memory wherein the raw input data includes one or more patient monitoring parameters indicative of the medical state of the patient; transforming the raw input data into corresponding patient monitoring quantities representing corresponding vital parameters of the patient wherein the patient model has at least one region (1, 1a, 1b, 1c, 1d, 2, 3, 4, 5, 6, 7, 8, 9) which is allocated to at least one patient monitoring quantity; automatically rendering the at least one region (1, 1a, 1b, 1c, 1d, 2, 3, 4, 5, 6, 7, 8, 9) depending on the current value of the at least one patient monitoring quantity; and re-rendering, based on one or more patient monitoring algorithms, in real-time, the at least one region (1, 1a, 1b, 1c, 1d, 2, 3, 4, 5, 6, 7, 8, 9) at pre-defined rendering frequencies which are associated with simplified state values representing discrete state value ranges of the corresponding monitored parameters, wherein a first rendering frequency is associated with a first range representing a normal medical state, a second rendering frequency is associated with a second range representing a first abnormal medical state where the monitored parameters are too low, and a third rendering frequency is associated with a third range representing a second abnormal medical state where the monitored parameters are too high, with the predefined rendering frequencies associated with the simplified state values being selected such that a switch between said predefined rendering frequencies can be recognized by a human observer, wherein changes of the rendering frequency for a particular region occur only in cases where the corresponding monitored parameter quantity crosses a respective predefined state switching threshold value, with respective predefined state switching threshold values separating the normal medical state from the first and second abnormal medical states, and each change of the rendering frequency indicating a simplified state change so that the patient model represents the real-time medical state of the monitored patient according to the respective current simplified state values.