Development and Validation of an Electronic Health Record Algorithm to Predict the Presence of Chronic Obstructive Pulmonary Disease

We developed an EHR-based algorithm that accurately predicts AFO using routinely collected structured data. This tool provides a practical method for identifying patients for targeted COPD case finding. Future efforts will focus on external validation and integration into clinical workflows, enabling automated identification and provider or patient notification to facilitate appropriate pulmonary function testing.

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Publication Details

Journal
International Journal of COPD
Published
2026-01-01
DOI
https://doi.org/10.2147/copd.s546651
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
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article

Development and Validation of an Electronic Health Record Algorithm to Predict the Presence of Chronic Obstructive Pulmonary Disease

Jill Ohar, Amit Saha, Brian Wells
International Journal of COPD
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Development and Validation of an Electronic Health Record Algorithm to Predict the Presence of Chronic Obstructive Pulmonary Disease

Jill Ohar, Amit Saha, Brian Wells
article en

Abstract

We developed an EHR-based algorithm that accurately predicts AFO using routinely collected structured data. This tool provides a practical method for identifying patients for targeted COPD case finding. Future efforts will focus on external validation and integration into clinical workflows, enabling automated identification and provider or patient notification to facilitate appropriate pulmonary function testing.

International Journal of COPDVol. Volume 21
Wake Forest University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 96%
Chronic Obstructive Pulmonary Disease (COPD) Research
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