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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Nature Portfolio
2017
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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) |
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Diseases of the respiratory system RC705-779 |
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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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