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.
Original language | English (US) |
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Pages (from-to) | 1279-1285 |
Number of pages | 7 |
Journal | Journal of the American Medical Informatics Association : JAMIA |
Volume | 29 |
Issue number | 7 |
DOIs | |
State | Published - Jun 14 2022 |
Keywords
- COVID-19
- electronic health records
- medical informatics
- public health informatics
- World Health Organization
ASJC Scopus subject areas
- Health Informatics