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

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.

Automated summary

This study presents a detailed blueprint for mapping electronic health record (EHR) data to the World Health Organization's Clinical Progression Scale (WHO-CPS). By developing guiding principles, the method was able to classify clinical severity for 100% of patient days across 2756 patient encounters in two medical centers.