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

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

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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
Volume29
Issue number7
DOIs
StatePublished - Jul 1 2022

Keywords

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

ASJC Scopus subject areas

  • Health Informatics

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