Developing a COVID-19 WHO Clinical Progression Scale inpatient database from electronic health record data.

Ramaswamy, Priya; Gong, Jen J; Saleh, Sameh N; McDonald, Samuel A; Blumberg, Seth; Medford, Richard J; Liu, Xinran · J Am Med Inform Assoc · 2022

other · Level IV

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Abstract

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. 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. Our method was able to classify clinical severity for 100% of patient days for 2756 patient encounters across 2 institutions. 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. We describe a detailed blueprint for how to apply the WHO-CPS scale to patient data from the EHR.

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