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.
Authors
- Jill Ohar (ORCID: https://orcid.org/0000-0002-2757-6806)
- Amit Saha (ORCID: https://orcid.org/0000-0002-3542-4319)
- Brian Wells
Institutions
- Wake Forest University (US)
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
- 0.00