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Schnittbilddiagnostik im InEK‑Benchmark: Eine Chance für die Radiologie

BACKGROUND: Based on the lump sum system which is calculated by the InEK (Institut für das Entgeltsystem im Krankenhaus), it is possible to compare one hospital’s own performance data with all hospitals in Germany billing according to the Diagnosis-Related Group (DRG). The aim of this article is to...

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Autores principales: Wienicke, V., Denecke, T., Henkelmann, J., Jacob, R., von Dercks, Nikolaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Medizin 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983549/
https://www.ncbi.nlm.nih.gov/pubmed/35029721
http://dx.doi.org/10.1007/s00117-021-00963-8
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author Wienicke, V.
Denecke, T.
Henkelmann, J.
Jacob, R.
von Dercks, Nikolaus
author_facet Wienicke, V.
Denecke, T.
Henkelmann, J.
Jacob, R.
von Dercks, Nikolaus
author_sort Wienicke, V.
collection PubMed
description BACKGROUND: Based on the lump sum system which is calculated by the InEK (Institut für das Entgeltsystem im Krankenhaus), it is possible to compare one hospital’s own performance data with all hospitals in Germany billing according to the Diagnosis-Related Group (DRG). The aim of this article is to investigate exceeding or undercutting of computed tomography (CT) or magnetic resonance imaging (MRI) in comparison to the calculations made by the InEK to reveal potential for improvement. METHODS: InEK calculation data for 2021 were used to form comparative ratios for CT and MRI diagnostics at the DRG level. Data from a university hospital was compared at the hospital, departments, DRG and main diagnosis levels. RESULTS: At the hospital level, there were 1025 more MRIs and 371 more CTs compared to InEK. Analysis by department showed, e.g., in neurology, 489 more MRIs and 620 fewer CTs. The benchmark of the DRGs showed in particular that DRG B70B was the driver of deviations in both diagnostic modalities (MRI [Formula: see text] CT [Formula: see text]). The identified deviations can be further analysed at the main diagnosis level. CONCLUSION: Awareness of above-average use of cross-sectional imaging diagnostics can provide impetus for further development of clinical pathways of a hospital. The methodology of the InEK benchmark is applicable to every hospital and is able to identify processes with potential for improvement. The review of influencing factors as well as the evaluation by clinicians and economists are prerequisite for acceptance and success of the measures generated from the benchmark.
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spelling pubmed-89835492022-04-22 Schnittbilddiagnostik im InEK‑Benchmark: Eine Chance für die Radiologie Wienicke, V. Denecke, T. Henkelmann, J. Jacob, R. von Dercks, Nikolaus Radiologe Originalien BACKGROUND: Based on the lump sum system which is calculated by the InEK (Institut für das Entgeltsystem im Krankenhaus), it is possible to compare one hospital’s own performance data with all hospitals in Germany billing according to the Diagnosis-Related Group (DRG). The aim of this article is to investigate exceeding or undercutting of computed tomography (CT) or magnetic resonance imaging (MRI) in comparison to the calculations made by the InEK to reveal potential for improvement. METHODS: InEK calculation data for 2021 were used to form comparative ratios for CT and MRI diagnostics at the DRG level. Data from a university hospital was compared at the hospital, departments, DRG and main diagnosis levels. RESULTS: At the hospital level, there were 1025 more MRIs and 371 more CTs compared to InEK. Analysis by department showed, e.g., in neurology, 489 more MRIs and 620 fewer CTs. The benchmark of the DRGs showed in particular that DRG B70B was the driver of deviations in both diagnostic modalities (MRI [Formula: see text] CT [Formula: see text]). The identified deviations can be further analysed at the main diagnosis level. CONCLUSION: Awareness of above-average use of cross-sectional imaging diagnostics can provide impetus for further development of clinical pathways of a hospital. The methodology of the InEK benchmark is applicable to every hospital and is able to identify processes with potential for improvement. The review of influencing factors as well as the evaluation by clinicians and economists are prerequisite for acceptance and success of the measures generated from the benchmark. Springer Medizin 2022-01-14 2022 /pmc/articles/PMC8983549/ /pubmed/35029721 http://dx.doi.org/10.1007/s00117-021-00963-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access Dieser Artikel wird unter der Creative Commons Namensnennung 4.0 International Lizenz veröffentlicht, welche die Nutzung, Vervielfältigung, Bearbeitung, Verbreitung und Wiedergabe in jeglichem Medium und Format erlaubt, sofern Sie den/die ursprünglichen Autor(en) und die Quelle ordnungsgemäß nennen, einen Link zur Creative Commons Lizenz beifügen und angeben, ob Änderungen vorgenommen wurden. Die in diesem Artikel enthaltenen Bilder und sonstiges Drittmaterial unterliegen ebenfalls der genannten Creative Commons Lizenz, sofern sich aus der Abbildungslegende nichts anderes ergibt. Sofern das betreffende Material nicht unter der genannten Creative Commons Lizenz steht und die betreffende Handlung nicht nach gesetzlichen Vorschriften erlaubt ist, ist für die oben aufgeführten Weiterverwendungen des Materials die Einwilligung des jeweiligen Rechteinhabers einzuholen. Weitere Details zur Lizenz entnehmen Sie bitte der Lizenzinformation auf http://creativecommons.org/licenses/by/4.0/deed.de (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Originalien
Wienicke, V.
Denecke, T.
Henkelmann, J.
Jacob, R.
von Dercks, Nikolaus
Schnittbilddiagnostik im InEK‑Benchmark: Eine Chance für die Radiologie
title Schnittbilddiagnostik im InEK‑Benchmark: Eine Chance für die Radiologie
title_full Schnittbilddiagnostik im InEK‑Benchmark: Eine Chance für die Radiologie
title_fullStr Schnittbilddiagnostik im InEK‑Benchmark: Eine Chance für die Radiologie
title_full_unstemmed Schnittbilddiagnostik im InEK‑Benchmark: Eine Chance für die Radiologie
title_short Schnittbilddiagnostik im InEK‑Benchmark: Eine Chance für die Radiologie
title_sort schnittbilddiagnostik im inek‑benchmark: eine chance für die radiologie
topic Originalien
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983549/
https://www.ncbi.nlm.nih.gov/pubmed/35029721
http://dx.doi.org/10.1007/s00117-021-00963-8
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