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Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG(®)) Casemix system in a teaching hospital in Malaysia
BACKGROUND: The accuracy of clinical coding is crucial in the assignment of Diagnosis Related Groups (DRGs) codes, especially if the hospital is using Casemix System as a tool for resource allocations and efficiency monitoring. The aim of this study was to estimate the potential loss of income due t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784726/ https://www.ncbi.nlm.nih.gov/pubmed/29370785 http://dx.doi.org/10.1186/s12913-018-2843-1 |
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author | Zafirah, S. A. Nur, Amrizal Muhammad Puteh, Sharifa Ezat Wan Aljunid, Syed Mohamed |
author_facet | Zafirah, S. A. Nur, Amrizal Muhammad Puteh, Sharifa Ezat Wan Aljunid, Syed Mohamed |
author_sort | Zafirah, S. A. |
collection | PubMed |
description | BACKGROUND: The accuracy of clinical coding is crucial in the assignment of Diagnosis Related Groups (DRGs) codes, especially if the hospital is using Casemix System as a tool for resource allocations and efficiency monitoring. The aim of this study was to estimate the potential loss of income due to an error in clinical coding during the implementation of the Malaysia Diagnosis Related Group (MY-DRG(®)) Casemix System in a teaching hospital in Malaysia. METHODS: Four hundred and sixty-four (464) coded medical records were selected, re-examined and re-coded by an independent senior coder (ISC). This ISC re-examined and re-coded the error code that was originally entered by the hospital coders. The pre- and post-coding results were compared, and if there was any disagreement, the codes by the ISC were considered the accurate codes. The cases were then re-grouped using a MY-DRG(®) grouper to assess and compare the changes in the DRG assignment and the hospital tariff assignment. The outcomes were then verified by a casemix expert. RESULTS: Coding errors were found in 89.4% (415/424) of the selected patient medical records. Coding errors in secondary diagnoses were the highest, at 81.3% (377/464), followed by secondary procedures at 58.2% (270/464), principal procedures of 50.9% (236/464) and primary diagnoses at 49.8% (231/464), respectively. The coding errors resulted in the assignment of different MY-DRG(®) codes in 74.0% (307/415) of the cases. From this result, 52.1% (160/307) of the cases had a lower assigned hospital tariff. In total, the potential loss of income due to changes in the assignment of the MY-DRG(®) code was RM654,303.91. CONCLUSIONS: The quality of coding is a crucial aspect in implementing casemix systems. Intensive re-training and the close monitoring of coder performance in the hospital should be performed to prevent the potential loss of hospital income. |
format | Online Article Text |
id | pubmed-5784726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57847262018-02-07 Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG(®)) Casemix system in a teaching hospital in Malaysia Zafirah, S. A. Nur, Amrizal Muhammad Puteh, Sharifa Ezat Wan Aljunid, Syed Mohamed BMC Health Serv Res Research Article BACKGROUND: The accuracy of clinical coding is crucial in the assignment of Diagnosis Related Groups (DRGs) codes, especially if the hospital is using Casemix System as a tool for resource allocations and efficiency monitoring. The aim of this study was to estimate the potential loss of income due to an error in clinical coding during the implementation of the Malaysia Diagnosis Related Group (MY-DRG(®)) Casemix System in a teaching hospital in Malaysia. METHODS: Four hundred and sixty-four (464) coded medical records were selected, re-examined and re-coded by an independent senior coder (ISC). This ISC re-examined and re-coded the error code that was originally entered by the hospital coders. The pre- and post-coding results were compared, and if there was any disagreement, the codes by the ISC were considered the accurate codes. The cases were then re-grouped using a MY-DRG(®) grouper to assess and compare the changes in the DRG assignment and the hospital tariff assignment. The outcomes were then verified by a casemix expert. RESULTS: Coding errors were found in 89.4% (415/424) of the selected patient medical records. Coding errors in secondary diagnoses were the highest, at 81.3% (377/464), followed by secondary procedures at 58.2% (270/464), principal procedures of 50.9% (236/464) and primary diagnoses at 49.8% (231/464), respectively. The coding errors resulted in the assignment of different MY-DRG(®) codes in 74.0% (307/415) of the cases. From this result, 52.1% (160/307) of the cases had a lower assigned hospital tariff. In total, the potential loss of income due to changes in the assignment of the MY-DRG(®) code was RM654,303.91. CONCLUSIONS: The quality of coding is a crucial aspect in implementing casemix systems. Intensive re-training and the close monitoring of coder performance in the hospital should be performed to prevent the potential loss of hospital income. BioMed Central 2018-01-25 /pmc/articles/PMC5784726/ /pubmed/29370785 http://dx.doi.org/10.1186/s12913-018-2843-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zafirah, S. A. Nur, Amrizal Muhammad Puteh, Sharifa Ezat Wan Aljunid, Syed Mohamed Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG(®)) Casemix system in a teaching hospital in Malaysia |
title | Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG(®)) Casemix system in a teaching hospital in Malaysia |
title_full | Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG(®)) Casemix system in a teaching hospital in Malaysia |
title_fullStr | Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG(®)) Casemix system in a teaching hospital in Malaysia |
title_full_unstemmed | Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG(®)) Casemix system in a teaching hospital in Malaysia |
title_short | Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG(®)) Casemix system in a teaching hospital in Malaysia |
title_sort | potential loss of revenue due to errors in clinical coding during the implementation of the malaysia diagnosis related group (my-drg(®)) casemix system in a teaching hospital in malaysia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784726/ https://www.ncbi.nlm.nih.gov/pubmed/29370785 http://dx.doi.org/10.1186/s12913-018-2843-1 |
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