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Decision algorithm for when to use the ICD-11 3-part model for healthcare harms

Accurate data collection of healthcare-related adverse events provides a foundation for quality and health system improvement. The International Classification of Diseases for Mortality and Morbidity Statistics, 11th revision (ICD-11 MMS) includes new codes to identify harm or injury and the events...

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Autores principales: Eastwood, Cathy A., Khair, Shahreen, Southern, Danielle A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171926/
https://www.ncbi.nlm.nih.gov/pubmed/35672699
http://dx.doi.org/10.1186/s12911-022-01887-6
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author Eastwood, Cathy A.
Khair, Shahreen
Southern, Danielle A.
author_facet Eastwood, Cathy A.
Khair, Shahreen
Southern, Danielle A.
author_sort Eastwood, Cathy A.
collection PubMed
description Accurate data collection of healthcare-related adverse events provides a foundation for quality and health system improvement. The International Classification of Diseases for Mortality and Morbidity Statistics, 11th revision (ICD-11 MMS) includes new codes to identify harm or injury and the events or actions leading to the adverse events. However, it is difficult to choose the correct codes without in-depth understanding of which event may be classified as an injury or harm. A 3-part model will be available in the ICD-11 MMS to cluster the codes for the harm or injury that occurred, the causal factors, and the mode (mechanism) involved. While field testing coding of adverse events, our team developed a decision tree (algorithm), which guides when to use the 3-part model. The decision tree now resides in the ICD-11 Reference Guide. This paper is part of a special ICD-11 paper series and outlines the steps used in the decision-tree (algorithm) and provides examples to help understand the process. While it may take coders some time to gain experience to use the 3-part model and decision-tree, the ICD-11 Reference Guide and this paper can be helpful resources to help clarify the process.
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spelling pubmed-91719262022-06-08 Decision algorithm for when to use the ICD-11 3-part model for healthcare harms Eastwood, Cathy A. Khair, Shahreen Southern, Danielle A. BMC Med Inform Decis Mak Research Accurate data collection of healthcare-related adverse events provides a foundation for quality and health system improvement. The International Classification of Diseases for Mortality and Morbidity Statistics, 11th revision (ICD-11 MMS) includes new codes to identify harm or injury and the events or actions leading to the adverse events. However, it is difficult to choose the correct codes without in-depth understanding of which event may be classified as an injury or harm. A 3-part model will be available in the ICD-11 MMS to cluster the codes for the harm or injury that occurred, the causal factors, and the mode (mechanism) involved. While field testing coding of adverse events, our team developed a decision tree (algorithm), which guides when to use the 3-part model. The decision tree now resides in the ICD-11 Reference Guide. This paper is part of a special ICD-11 paper series and outlines the steps used in the decision-tree (algorithm) and provides examples to help understand the process. While it may take coders some time to gain experience to use the 3-part model and decision-tree, the ICD-11 Reference Guide and this paper can be helpful resources to help clarify the process. BioMed Central 2022-06-07 /pmc/articles/PMC9171926/ /pubmed/35672699 http://dx.doi.org/10.1186/s12911-022-01887-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Eastwood, Cathy A.
Khair, Shahreen
Southern, Danielle A.
Decision algorithm for when to use the ICD-11 3-part model for healthcare harms
title Decision algorithm for when to use the ICD-11 3-part model for healthcare harms
title_full Decision algorithm for when to use the ICD-11 3-part model for healthcare harms
title_fullStr Decision algorithm for when to use the ICD-11 3-part model for healthcare harms
title_full_unstemmed Decision algorithm for when to use the ICD-11 3-part model for healthcare harms
title_short Decision algorithm for when to use the ICD-11 3-part model for healthcare harms
title_sort decision algorithm for when to use the icd-11 3-part model for healthcare harms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171926/
https://www.ncbi.nlm.nih.gov/pubmed/35672699
http://dx.doi.org/10.1186/s12911-022-01887-6
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