Der GOPE Ansatz (Goal Oriented Performance Evaluation) erlaubt die Quantifizierung mehrdimensionaler Zielsysteme bis auf eine Spitzenkennzahl hin. Hierdurch wird auch die Kombination verschiedener Performance Measurement-Ansätze im selben System möglich. Die Anwendbarkeit des GOPE-Prozesses wird anhand eines Fallbeispiels aus der pharmazeutischen Industrie aufgezeigt.
The future of oncology seems to lie in Molecular Medicine (MM). MM is a new science based on three pillars. Two of them are evident in its very name and are well known: medical science and molecular biology. However, there is a general unawareness that MM is firmly based on a third, and equally important, pillar: Systems Biomedicine. Currently, this term denotes multilevel, hierarchical models integrating key factors at the molecular, cellular, tissue, through phenotype levels, analyzed to reveal the global behavior of the biological process under consideration. It becomes increasingly evident that the tools to construct such complex models include, not only bioinformatics and modern applied statistics, as is unanimously agreed, but also other interdisciplinary fields of science, notably, Mathematical Oncology, Systems Biology and Theoretical Biophysics.