Developing a COVID-19 WHO Clinical Progression Scale inpatient database from electronic health record data
- PMID: 35289912
- PMCID: PMC9196693
- DOI: 10.1093/jamia/ocac041
Developing a COVID-19 WHO Clinical Progression Scale inpatient database from electronic health record data
Abstract
Objective: There is a need for a systematic method to implement the World Health Organization's Clinical Progression Scale (WHO-CPS), an ordinal clinical severity score for coronavirus disease 2019 patients, to electronic health record (EHR) data. We discuss our process of developing guiding principles mapping EHR data to WHO-CPS scores across multiple institutions.
Materials and methods: Using WHO-CPS as a guideline, we developed the technical blueprint to map EHR data to ordinal clinical severity scores. We applied our approach to data from 2 medical centers.
Results: Our method was able to classify clinical severity for 100% of patient days for 2756 patient encounters across 2 institutions.
Discussion: Implementing new clinical scales can be challenging; strong understanding of health system data architecture was integral to meet the clinical intentions of the WHO-CPS.
Conclusion: We describe a detailed blueprint for how to apply the WHO-CPS scale to patient data from the EHR.
Keywords: COVID-19; World Health Organization; electronic health records; medical informatics; public health informatics.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.
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