Literature DB >> 22660558

[Complexity level simulation in the German diagnosis-related groups system: the financial effect of coding of comorbidity diagnostics in urology].

A Wenke1, A Gaber, L Hertle, N Roeder, G Pühse.   

Abstract

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.

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Mesh:

Year:  2012        PMID: 22660558     DOI: 10.1007/s00120-012-2877-7

Source DB:  PubMed          Journal:  Urologe A        ISSN: 0340-2592            Impact factor:   0.639


  3 in total

Review 1.  [Relevance of hospitals participating in the DRG calculation for the development of the G-DRG system].

Authors:  B G Volkmer; S Petschl; G Pühse
Journal:  Urologe A       Date:  2008-07       Impact factor: 0.639

2.  [The German diagnosis-related groups in urology: reproducibility and quality of coding].

Authors:  B G Volkmer; S Petschl; M Rieder; J Fichtner; G Pühse; K Kleinschmidt; J Simon
Journal:  Urologe A       Date:  2008-03       Impact factor: 0.639

3.  [Adjustment of the German DRG system in 2009].

Authors:  A Wenke; D Franz; G Pühse; B Volkmer; N Roeder
Journal:  Urologe A       Date:  2009-07       Impact factor: 0.639

  3 in total
  2 in total

1.  Disease-Specific Trends of Comorbidity Coding and Implications for Risk Adjustment in Hospital Administrative Data.

Authors:  Ulrike Nimptsch
Journal:  Health Serv Res       Date:  2015-10-07       Impact factor: 3.402

2.  Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage.

Authors:  Birga Maier; Katrin Wagner; Steffen Behrens; Leonhard Bruch; Reinhard Busse; Dagmar Schmidt; Helmut Schühlen; Roland Thieme; Heinz Theres
Journal:  BMC Health Serv Res       Date:  2016-10-21       Impact factor: 2.655

  2 in total

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