[Complexity level simulation in the German diagnosis-related groups system: the financial effect of coding of comorbidity diagnostics in urology].
BACKGROUND
Precise and complete coding of diagnoses and procedures is of value for optimizing revenues within the German diagnosis-related groups (G-DRG) system. The implementation of effective structures for coding is cost-intensive. The aim of this study was to prove whether higher costs can be refunded by complete acquisition of comorbidities and complications.


METHODS
Calculations were based on DRG data of the Department of Urology, University Hospital of Münster, Germany, covering all patients treated in 2009. The data were regrouped and subjected to a process of simulation (increase and decrease of patient clinical complexity levels, PCCL) with the help of recently developed software.


RESULTS
In urology a strong dependency of quantity and quality of coding of secondary diagnoses on PCCL and subsequent profits was found. Departmental budgetary procedures can be optimized when coding is effective. The new simulation tool can be a valuable aid to improve profits available for distribution. Nevertheless, calculation of time use and financial needs by this procedure are subject to specific departmental terms and conditions.


CONCLUSIONS
Completeness of coding of (secondary) diagnoses must be the ultimate administrative goal of patient case documentation in urology.
Geschäftsbereich Medizinisches Management - Medizincontrolling, DRG-Research-Group, Universitätsklinikum Münster, Domagkstraße 20, 48129 Münster, Deutschland. andreas.wenke@ukmuenster.de
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Wenke
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Gaber
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Hertle
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Roeder
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Pühse
D015897:Comorbidity; D003198:Computer Simulation; D003953:Diagnosis-Related Groups / Q000191:economics*; D005858:Germany / Q000453:epidemiology; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D018803:Models, Economic; D015995:Prevalence; D014570:Urologic Diseases / Q000175:diagnosis* / Q000191:economics* / Q000453:epidemiology; D014572:Urology