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The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools
OBJECTIVE: Applying the science of networks to quantify the discriminatory impact of the ICD-9-CM to ICD-10-CM transition between clinical specialties. MATERIALS AND METHODS: Datasets were the Center for Medicaid and Medicare Services ICD-9-CM to ICD-10-CM mapping files, general equivalence mappings...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721160/ https://www.ncbi.nlm.nih.gov/pubmed/23645552 http://dx.doi.org/10.1136/amiajnl-2012-001358 |
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author | Boyd, Andrew D Li, Jianrong ‘John’ Burton, Mike D Jonen, Michael Gardeux, Vincent Achour, Ikbel Luo, Roger Q Zenku, Ilir Bahroos, Neil Brown, Stephen B Vanden Hoek, Terry Lussier, Yves A |
author_facet | Boyd, Andrew D Li, Jianrong ‘John’ Burton, Mike D Jonen, Michael Gardeux, Vincent Achour, Ikbel Luo, Roger Q Zenku, Ilir Bahroos, Neil Brown, Stephen B Vanden Hoek, Terry Lussier, Yves A |
author_sort | Boyd, Andrew D |
collection | PubMed |
description | OBJECTIVE: Applying the science of networks to quantify the discriminatory impact of the ICD-9-CM to ICD-10-CM transition between clinical specialties. MATERIALS AND METHODS: Datasets were the Center for Medicaid and Medicare Services ICD-9-CM to ICD-10-CM mapping files, general equivalence mappings, and statewide Medicaid emergency department billing. Diagnoses were represented as nodes and their mappings as directional relationships. The complex network was synthesized as an aggregate of simpler motifs and tabulation per clinical specialty. RESULTS: We identified five mapping motif categories: identity, class-to-subclass, subclass-to-class, convoluted, and no mapping. Convoluted mappings indicate that multiple ICD-9-CM and ICD-10-CM codes share complex, entangled, and non-reciprocal mappings. The proportions of convoluted diagnoses mappings (36% overall) range from 5% (hematology) to 60% (obstetrics and injuries). In a case study of 24 008 patient visits in 217 emergency departments, 27% of the costs are associated with convoluted diagnoses, with ‘abdominal pain’ and ‘gastroenteritis’ accounting for approximately 3.5%. DISCUSSION: Previous qualitative studies report that administrators and clinicians are likely to be challenged in understanding and managing their practice because of the ICD-10-CM transition. We substantiate the complexity of this transition with a thorough quantitative summary per clinical specialty, a case study, and the tools to apply this methodology easily to any clinical practice in the form of a web portal and analytic tables. CONCLUSIONS: Post-transition, successful management of frequent diseases with convoluted mapping network patterns is critical. The http://lussierlab.org/transition-to-ICD10CM web portal provides insight in linking onerous diseases to the ICD-10 transition. |
format | Online Article Text |
id | pubmed-3721160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-37211602013-12-11 The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools Boyd, Andrew D Li, Jianrong ‘John’ Burton, Mike D Jonen, Michael Gardeux, Vincent Achour, Ikbel Luo, Roger Q Zenku, Ilir Bahroos, Neil Brown, Stephen B Vanden Hoek, Terry Lussier, Yves A J Am Med Inform Assoc Focus on Human Factors and System Utilization OBJECTIVE: Applying the science of networks to quantify the discriminatory impact of the ICD-9-CM to ICD-10-CM transition between clinical specialties. MATERIALS AND METHODS: Datasets were the Center for Medicaid and Medicare Services ICD-9-CM to ICD-10-CM mapping files, general equivalence mappings, and statewide Medicaid emergency department billing. Diagnoses were represented as nodes and their mappings as directional relationships. The complex network was synthesized as an aggregate of simpler motifs and tabulation per clinical specialty. RESULTS: We identified five mapping motif categories: identity, class-to-subclass, subclass-to-class, convoluted, and no mapping. Convoluted mappings indicate that multiple ICD-9-CM and ICD-10-CM codes share complex, entangled, and non-reciprocal mappings. The proportions of convoluted diagnoses mappings (36% overall) range from 5% (hematology) to 60% (obstetrics and injuries). In a case study of 24 008 patient visits in 217 emergency departments, 27% of the costs are associated with convoluted diagnoses, with ‘abdominal pain’ and ‘gastroenteritis’ accounting for approximately 3.5%. DISCUSSION: Previous qualitative studies report that administrators and clinicians are likely to be challenged in understanding and managing their practice because of the ICD-10-CM transition. We substantiate the complexity of this transition with a thorough quantitative summary per clinical specialty, a case study, and the tools to apply this methodology easily to any clinical practice in the form of a web portal and analytic tables. CONCLUSIONS: Post-transition, successful management of frequent diseases with convoluted mapping network patterns is critical. The http://lussierlab.org/transition-to-ICD10CM web portal provides insight in linking onerous diseases to the ICD-10 transition. BMJ Publishing Group 2013-07 2013-05-05 /pmc/articles/PMC3721160/ /pubmed/23645552 http://dx.doi.org/10.1136/amiajnl-2012-001358 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Focus on Human Factors and System Utilization Boyd, Andrew D Li, Jianrong ‘John’ Burton, Mike D Jonen, Michael Gardeux, Vincent Achour, Ikbel Luo, Roger Q Zenku, Ilir Bahroos, Neil Brown, Stephen B Vanden Hoek, Terry Lussier, Yves A The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools |
title | The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools |
title_full | The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools |
title_fullStr | The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools |
title_full_unstemmed | The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools |
title_short | The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools |
title_sort | discriminatory cost of icd-10-cm transition between clinical specialties: metrics, case study, and mitigating tools |
topic | Focus on Human Factors and System Utilization |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721160/ https://www.ncbi.nlm.nih.gov/pubmed/23645552 http://dx.doi.org/10.1136/amiajnl-2012-001358 |
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