Markov Model of the Outpatient Classification System Morbidity Related Groups (MRG).

Background: Benchmarking and guidance of outpatient physicians in Germany are almost always based on one year data. This also holds true for morbidity related groups, a classification system applied in northern Germany since 2017. A study of the markov properties of prescription based grouping algorithms is reported here.

Results: There is a strongly connected graph for almost all components and the resulting markov chain has a unique stationary solution.

Conclusions: Target values based on the status quo of prescription behavior can provide stable guidelines for outpatient physicians. Every set of partitions converging like MRG should be considered for controlling measures.