K Wirth1, P Zielinski1, T Trinter2, R Stahl1, F Mück1, M Reiser1, S Wirth3. 1. Institut für Klinische Radiologie, Klinikum der Universität München, Nußbaumstr. 20, 80336, München, Deutschland. 2. Controlling, Klinikum der Universität München, Marchioninistr. 15, 81377, München, Deutschland. 3. Institut für Klinische Radiologie, Klinikum der Universität München, Nußbaumstr. 20, 80336, München, Deutschland. Stefan.Wirth@med.uni-muenchen.de.
Abstract
BACKGROUND: In hospitals, the radiological services provided to non-privately insured in-house patients are mostly distributed to requesting disciplines through internal cost allocation (ICA). In many institutions, computed tomography (CT) is the modality with the largest amount of allocation credits. OBJECTIVES: The aim of this work is to compare the ICA to respective DRG (Diagnosis Related Groups) shares for diagnostic CT services in a university hospital setting. MATERIALS AND METHODS: The data from four CT scanners in a large university hospital were processed for the 2012 fiscal year. For each of the 50 DRG groups with the most case-mix points, all diagnostic CT services were documented including their respective amount of GOÄ allocation credits and invoiced ICA value. As the German Institute for Reimbursement of Hospitals (InEK) database groups the radiation disciplines (radiology, nuclear medicine and radiation therapy) together and also lacks any modality differentiation, the determination of the diagnostic CT component was based on the existing institutional distribution of ICA allocations. RESULTS: Within the included 24,854 cases, 63,062,060 GOÄ-based performance credits were counted. The ICA relieved these diagnostic CT services by € 819,029 (single credit value of 1.30 Eurocent), whereas accounting by using DRG shares would have resulted in € 1,127,591 (single credit value of 1.79 Eurocent). The GOÄ single credit value is 5.62 Eurocent. CONCLUSIONS: The diagnostic CT service was basically rendered as relatively inexpensive. In addition to a better financial result, changing the current ICA to DRG shares might also mean a chance for real revenues. However, the attractiveness considerably depends on how the DRG shares are distributed to the different radiation disciplines of one institution.
BACKGROUND: In hospitals, the radiological services provided to non-privately insured in-house patients are mostly distributed to requesting disciplines through internal cost allocation (ICA). In many institutions, computed tomography (CT) is the modality with the largest amount of allocation credits. OBJECTIVES: The aim of this work is to compare the ICA to respective DRG (Diagnosis Related Groups) shares for diagnostic CT services in a university hospital setting. MATERIALS AND METHODS: The data from four CT scanners in a large university hospital were processed for the 2012 fiscal year. For each of the 50 DRG groups with the most case-mix points, all diagnostic CT services were documented including their respective amount of GOÄ allocation credits and invoiced ICA value. As the German Institute for Reimbursement of Hospitals (InEK) database groups the radiation disciplines (radiology, nuclear medicine and radiation therapy) together and also lacks any modality differentiation, the determination of the diagnostic CT component was based on the existing institutional distribution of ICA allocations. RESULTS: Within the included 24,854 cases, 63,062,060 GOÄ-based performance credits were counted. The ICA relieved these diagnostic CT services by € 819,029 (single credit value of 1.30 Eurocent), whereas accounting by using DRG shares would have resulted in € 1,127,591 (single credit value of 1.79 Eurocent). The GOÄ single credit value is 5.62 Eurocent. CONCLUSIONS: The diagnostic CT service was basically rendered as relatively inexpensive. In addition to a better financial result, changing the current ICA to DRG shares might also mean a chance for real revenues. However, the attractiveness considerably depends on how the DRG shares are distributed to the different radiation disciplines of one institution.
Authors: S Nissen-Meyer; B Wieser; S Huber; S Wirth; M Treitl; M Werner; A Hartmannsgruber; C Witt; A M Kaysser; B Küttner; R T Hoffmann; M Reiser Journal: Radiologe Date: 2005-08 Impact factor: 0.635
Authors: David B Larson; Lara W Johnson; Beverly M Schnell; Shelia R Salisbury; Howard P Forman Journal: Radiology Date: 2010-11-29 Impact factor: 11.105
Authors: Fabian G Mueck; Sebastian Roesch; Lucas Geyer; Michael Scherr; Michael Seidenbusch; Robert Stahl; Zsuzsanna Deak; Stefan Wirth Journal: Eur Radiol Date: 2014-02-15 Impact factor: 5.315
Authors: M G Wagner; M R Fischer; M Scaglione; U Linsenmaier; G Schueller; F H Berger; E Dick; R Basilico; M Stajgis; C Calli; S Vaidya; Stefan Wirth Journal: GMS J Med Educ Date: 2017-11-15