Developing a COVID-19 WHO Clinical Progression Scale inpatient database from electronic health record data. (15th March 2022)

• Record Type: Journal Article
• Authors: Ramaswamy, Priya; Gong, Jen J; Saleh, Sameh N; McDonald, Samuel A; Blumberg, Seth; Medford, Richard J; Liu, Xinran
• Is Part Of: Journal of the American Medical Informatics Association. Volume 29:Number 7(2022)
• Page Start: 1279
• Page End: 1285
• Publication Date: 2022-03-15
• Subjects: public health informatics -- medical informatics -- electronic health records -- World Health Organization -- COVID-19; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1093/jamia/ocac041
• Languages: English
• ISSNs: 1067-5027

Abstract

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.