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Developing a COVID-19 WHO Clinical Progression Scale inpatient database from electronic health record data
Priya Ramaswamy1,2, Jen J Gong3, Sameh N Saleh4,5,6
1Division of Hospital Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
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.
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