Article ; Online: 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
2017 Volume 27, Issue 1, Page(s) 34
Abstract: Little is known about using electronic medical records to identify patients with chronic obstructive pulmonary disease to improve quality of care. Our objective was to develop electronic medical record algorithms that can accurately identify patients ... ...
Abstract | Little is known about using electronic medical records to identify patients with chronic obstructive pulmonary disease to improve quality of care. Our objective was to develop electronic medical record algorithms that can accurately identify patients with obstructive pulmonary disease. A retrospective chart abstraction study was conducted on data from the Electronic Medical Record Administrative data Linked Database (EMRALD 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. |
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MeSH term(s) | Adult ; Aged ; Algorithms ; Canada ; Databases, Factual ; Electronic Health Records ; Female ; Humans ; Male ; Middle Aged ; Primary Health Care ; Pulmonary Disease, Chronic Obstructive/diagnosis ; Retrospective Studies ; Sensitivity and Specificity |
Language | English |
Publishing date | 2017-05-15 |
Publishing country | England |
Document type | Journal Article ; Validation Study |
ZDB-ID | 2780812-9 |
ISSN | 2055-1010 ; 2055-1010 |
ISSN (online) | 2055-1010 |
ISSN | 2055-1010 |
DOI | 10.1038/s41533-017-0035-9 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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