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Seltene Erkrankungen in den Daten sichtbar machen – Kodierung
The ICD-10-GM coding system used in the German healthcare system only captures a minority of rare disease diagnoses. Therefore, information on the incidence and prevalence of rare diseases as well as necessary (financial) resources for the expert care required for evidence-based decisions by health...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636302/ https://www.ncbi.nlm.nih.gov/pubmed/36239768 http://dx.doi.org/10.1007/s00103-022-03598-9 |
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author | Martin, Tamara Rommel, Kathrin Thomas, Carina Eymann, Jutta Kretschmer, Tanita Berner, Reinhard Lee-Kirsch, Min Ae Hebestreit, Helge |
author_facet | Martin, Tamara Rommel, Kathrin Thomas, Carina Eymann, Jutta Kretschmer, Tanita Berner, Reinhard Lee-Kirsch, Min Ae Hebestreit, Helge |
author_sort | Martin, Tamara |
collection | PubMed |
description | The ICD-10-GM coding system used in the German healthcare system only captures a minority of rare disease diagnoses. Therefore, information on the incidence and prevalence of rare diseases as well as necessary (financial) resources for the expert care required for evidence-based decisions by health insurers, care providers, and politicians are lacking. Furthermore, the missing information complicates and sometimes even precludes the generation of scientific knowledge on rare diseases. Therefore, starting in 2023, all in-patient cases in Germany with a rare disease diagnosis must be coded by an ORPHAcode using the Alpha-ID-SE file. The file Alpha-ID-SE links the ICD-10-GM codes to the internationally established ORPHAcodes for rare diseases. Commercially available software tools progressively support the coding of rare diseases. In several centers for rare diseases linked to university hospitals, IT tools and procedures were established to realize a complete coding of rare diseases. These include financial incentives for the institutions providing rare disease codes, systematic queries asking for rare disease codes during the coding process, and a semi-automated coding process for all patients with a rare disease previously seen at the institution. A combination of the different approaches probably results in the most complete coding. To get the complete picture of rare disease epidemiology and care requirements, a specific and unique coding of out-patient cases is also desirable. Furthermore, a structured reporting of phenotype is required, especially for complex rare diseases and for yet undiagnosed cases. |
format | Online Article Text |
id | pubmed-9636302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-96363022022-11-06 Seltene Erkrankungen in den Daten sichtbar machen – Kodierung Martin, Tamara Rommel, Kathrin Thomas, Carina Eymann, Jutta Kretschmer, Tanita Berner, Reinhard Lee-Kirsch, Min Ae Hebestreit, Helge Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz Leitthema The ICD-10-GM coding system used in the German healthcare system only captures a minority of rare disease diagnoses. Therefore, information on the incidence and prevalence of rare diseases as well as necessary (financial) resources for the expert care required for evidence-based decisions by health insurers, care providers, and politicians are lacking. Furthermore, the missing information complicates and sometimes even precludes the generation of scientific knowledge on rare diseases. Therefore, starting in 2023, all in-patient cases in Germany with a rare disease diagnosis must be coded by an ORPHAcode using the Alpha-ID-SE file. The file Alpha-ID-SE links the ICD-10-GM codes to the internationally established ORPHAcodes for rare diseases. Commercially available software tools progressively support the coding of rare diseases. In several centers for rare diseases linked to university hospitals, IT tools and procedures were established to realize a complete coding of rare diseases. These include financial incentives for the institutions providing rare disease codes, systematic queries asking for rare disease codes during the coding process, and a semi-automated coding process for all patients with a rare disease previously seen at the institution. A combination of the different approaches probably results in the most complete coding. To get the complete picture of rare disease epidemiology and care requirements, a specific and unique coding of out-patient cases is also desirable. Furthermore, a structured reporting of phenotype is required, especially for complex rare diseases and for yet undiagnosed cases. Springer Berlin Heidelberg 2022-10-14 2022 /pmc/articles/PMC9636302/ /pubmed/36239768 http://dx.doi.org/10.1007/s00103-022-03598-9 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 | Leitthema Martin, Tamara Rommel, Kathrin Thomas, Carina Eymann, Jutta Kretschmer, Tanita Berner, Reinhard Lee-Kirsch, Min Ae Hebestreit, Helge Seltene Erkrankungen in den Daten sichtbar machen – Kodierung |
title | Seltene Erkrankungen in den Daten sichtbar machen – Kodierung |
title_full | Seltene Erkrankungen in den Daten sichtbar machen – Kodierung |
title_fullStr | Seltene Erkrankungen in den Daten sichtbar machen – Kodierung |
title_full_unstemmed | Seltene Erkrankungen in den Daten sichtbar machen – Kodierung |
title_short | Seltene Erkrankungen in den Daten sichtbar machen – Kodierung |
title_sort | seltene erkrankungen in den daten sichtbar machen – kodierung |
topic | Leitthema |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636302/ https://www.ncbi.nlm.nih.gov/pubmed/36239768 http://dx.doi.org/10.1007/s00103-022-03598-9 |
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