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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Main Authors: Theresa M. Lee, Karen Tu, Laura L. Wing, Andrea S. Gershon
Format: Article
Language:English
Published: Nature Publishing Group 2017-05-01
Series:npj Primary Care Respiratory Medicine
Online Access:https://doi.org/10.1038/s41533-017-0035-9
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spelling doaj-35467c188fcc4b4fba7c69d718d6e5862020-12-07T23:54:15ZengNature Publishing Groupnpj Primary Care Respiratory Medicine2055-10102017-05-012711610.1038/s41533-017-0035-9Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction studyTheresa M. Lee0Karen Tu1Laura L. Wing2Andrea S. Gershon3Institute of Health Policy, Management and Evaluation, University of Toronto, Dalla Lana School of Public HealthInstitute of Health Policy, Management and Evaluation, University of Toronto, Dalla Lana School of Public HealthInstitute for Clinical Evaluative SciencesInstitute of Health Policy, Management and Evaluation, University of Toronto, Dalla Lana School of Public HealthChronic 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.https://doi.org/10.1038/s41533-017-0035-9
collection DOAJ
language English
format Article
sources DOAJ
author Theresa M. Lee
Karen Tu
Laura L. Wing
Andrea S. Gershon
spellingShingle 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
npj Primary Care Respiratory Medicine
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 Publishing Group
series npj Primary Care Respiratory Medicine
issn 2055-1010
publishDate 2017-05-01
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.
url https://doi.org/10.1038/s41533-017-0035-9
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