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

Priya Ramaswamy, Jen J. Gong, Sameh N Saleh, Sam McDonald, Seth Blumberg, Richard J. Medford, Xinran Liu

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)1279-1285
Number of pages7
JournalJournal of the American Medical Informatics Association : JAMIA
Volume29
Issue number7
DOIs
StatePublished - Jun 14 2022

Keywords

  • COVID-19
  • electronic health records
  • medical informatics
  • public health informatics
  • World Health Organization

ASJC Scopus subject areas

  • Health Informatics

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