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Two algorithms for the reorganisation of the problem list by organ system

OBJECTIVE: Long problem lists can be challenging to use. Reorganisation of the problem list by organ system is a strategy for making long problem lists more manageable. METHODS: In a small-town primary care setting, we examined 4950 unique problem lists over 5 years (24 033 total problems and 2170 u...

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Autores principales: Hier, Daniel B, Pearson, Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062335/
https://www.ncbi.nlm.nih.gov/pubmed/31848142
http://dx.doi.org/10.1136/bmjhci-2019-100024
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author Hier, Daniel B
Pearson, Joshua
author_facet Hier, Daniel B
Pearson, Joshua
author_sort Hier, Daniel B
collection PubMed
description OBJECTIVE: Long problem lists can be challenging to use. Reorganisation of the problem list by organ system is a strategy for making long problem lists more manageable. METHODS: In a small-town primary care setting, we examined 4950 unique problem lists over 5 years (24 033 total problems and 2170 unique problems) from our electronic health record. All problems were mapped to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) and SNOMED CT codes. We developed two different algorithms for reorganising the problem list by organ system based on either the ICD-10-CM or the SNOMED CT code. RESULTS: The mean problem list length was 4.9±4.6 problems. The two reorganisation algorithms allocated problems to one of 15 different categories (12 aligning with organ systems). 26.2% of problems were assigned to a more general category of ‘signs and symptoms’ that did not correspond to a single organ system. The two algorithms were concordant in allocation by organ system for 90% of the unique problems. Since ICD-10-CM is a monohierarchic classification system, problems coded by ICD-10-CM were assigned to a single category. Since SNOMED CT is a polyhierarchical ontology, 19.4% of problems coded by SNOMED CT were assigned to multiple categories. CONCLUSION: Reorganisation of the problem list by organ system is feasible using algorithms based on either ICD-10-CM or SNOMED CT codes, and the two algorithms are highly concordant.
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spelling pubmed-70623352020-09-30 Two algorithms for the reorganisation of the problem list by organ system Hier, Daniel B Pearson, Joshua BMJ Health Care Inform Original Research OBJECTIVE: Long problem lists can be challenging to use. Reorganisation of the problem list by organ system is a strategy for making long problem lists more manageable. METHODS: In a small-town primary care setting, we examined 4950 unique problem lists over 5 years (24 033 total problems and 2170 unique problems) from our electronic health record. All problems were mapped to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) and SNOMED CT codes. We developed two different algorithms for reorganising the problem list by organ system based on either the ICD-10-CM or the SNOMED CT code. RESULTS: The mean problem list length was 4.9±4.6 problems. The two reorganisation algorithms allocated problems to one of 15 different categories (12 aligning with organ systems). 26.2% of problems were assigned to a more general category of ‘signs and symptoms’ that did not correspond to a single organ system. The two algorithms were concordant in allocation by organ system for 90% of the unique problems. Since ICD-10-CM is a monohierarchic classification system, problems coded by ICD-10-CM were assigned to a single category. Since SNOMED CT is a polyhierarchical ontology, 19.4% of problems coded by SNOMED CT were assigned to multiple categories. CONCLUSION: Reorganisation of the problem list by organ system is feasible using algorithms based on either ICD-10-CM or SNOMED CT codes, and the two algorithms are highly concordant. BMJ Publishing Group 2019-12-16 /pmc/articles/PMC7062335/ /pubmed/31848142 http://dx.doi.org/10.1136/bmjhci-2019-100024 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) 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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Hier, Daniel B
Pearson, Joshua
Two algorithms for the reorganisation of the problem list by organ system
title Two algorithms for the reorganisation of the problem list by organ system
title_full Two algorithms for the reorganisation of the problem list by organ system
title_fullStr Two algorithms for the reorganisation of the problem list by organ system
title_full_unstemmed Two algorithms for the reorganisation of the problem list by organ system
title_short Two algorithms for the reorganisation of the problem list by organ system
title_sort two algorithms for the reorganisation of the problem list by organ system
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062335/
https://www.ncbi.nlm.nih.gov/pubmed/31848142
http://dx.doi.org/10.1136/bmjhci-2019-100024
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