Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study

Chronic lung disease: Novel algorithm search technique Researchers develop an algorithm that can accurately search through electronic health records to find patients with chronic lung disease. Mining population-wide data for information on patients diagnosed and treated with chronic obstructive pulm...

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Autores principales: Theresa M. Lee, Karen Tu, Laura L. Wing, Andrea S. Gershon
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/35467c188fcc4b4fba7c69d718d6e586
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spelling oai:doaj.org-article:35467c188fcc4b4fba7c69d718d6e5862021-12-02T15:18:51ZIdentifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study10.1038/s41533-017-0035-92055-1010https://doaj.org/article/35467c188fcc4b4fba7c69d718d6e5862017-05-01T00:00:00Zhttps://doi.org/10.1038/s41533-017-0035-9https://doaj.org/toc/2055-1010Chronic lung disease: Novel algorithm search technique Researchers develop an algorithm that can accurately search through electronic health records to find patients with chronic lung disease. Mining population-wide data for information on patients diagnosed and treated with chronic obstructive pulmonary disease (COPD) in primary care could help inform future healthcare and spending practices. Theresa Lee at the University of Toronto, Canada, and colleagues used an algorithm to search electronic medical records and identify patients with COPD from doctors’ notes, prescriptions and symptom histories. They carefully adjusted the algorithm to improve sensitivity and predictive value by adding details such as specific medications, physician codes related to COPD, and different combinations of terminology in doctors’ notes. The team accurately identified 364 patients with COPD in a randomly-selected cohort of 5889 people. Their results suggest opportunities for broader, informative studies of COPD in wider populations.Theresa M. LeeKaren TuLaura L. WingAndrea S. GershonNature PortfolioarticleDiseases of the respiratory systemRC705-779ENnpj Primary Care Respiratory Medicine, Vol 27, Iss 1, Pp 1-6 (2017)
institution DOAJ
collection DOAJ
language EN
topic Diseases of the respiratory system
RC705-779
spellingShingle Diseases of the respiratory system
RC705-779
Theresa M. Lee
Karen Tu
Laura L. Wing
Andrea S. Gershon
Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study
description Chronic lung disease: Novel algorithm search technique Researchers develop an algorithm that can accurately search through electronic health records to find patients with chronic lung disease. Mining population-wide data for information on patients diagnosed and treated with chronic obstructive pulmonary disease (COPD) in primary care could help inform future healthcare and spending practices. Theresa Lee at the University of Toronto, Canada, and colleagues used an algorithm to search electronic medical records and identify patients with COPD from doctors’ notes, prescriptions and symptom histories. They carefully adjusted the algorithm to improve sensitivity and predictive value by adding details such as specific medications, physician codes related to COPD, and different combinations of terminology in doctors’ notes. The team accurately identified 364 patients with COPD in a randomly-selected cohort of 5889 people. Their results suggest opportunities for broader, informative studies of COPD in wider populations.
format article
author Theresa M. Lee
Karen Tu
Laura L. Wing
Andrea S. Gershon
author_facet Theresa M. Lee
Karen Tu
Laura L. Wing
Andrea S. Gershon
author_sort Theresa M. Lee
title Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study
title_short Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study
title_full Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study
title_fullStr Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study
title_full_unstemmed Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study
title_sort identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/35467c188fcc4b4fba7c69d718d6e586
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